October 2021 - hpc-announce - mailman3.cels.anl.gov

9th European Conference on Service-Oriented and Cloud Computing (ESOCC 2022): Final Call for Papers for the Main Track
by Announce Announcements 30 Oct '21

30 Oct '21

*** Final Call for Papers for the Main Track *** 9th European Conference on Service-Oriented and Cloud Computing (ESOCC 2022) March 22-24, 2022, Lutherstadt Wittenberg, Germany http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=aHBjLWFubm91bmNlCQkJ… (*** Submission Deadline Extended to November 21st ***) Scope Service-oriented and cloud computing have made a huge impact both on the software industry and on the research community. Today, service and cloud technologies are applied to build large-scale software landscapes as well as to provide single software services to end users. Services today are independently developed and deployed as well as freely composed while they can be implemented in a variety of technologies, a quite important fact from a business perspective. Similarly, cloud computing aims at enabling flexibility by offering a centralised sharing of resources. The industry's need for agile and flexible software and IT systems has made cloud computing the dominating paradigm for provisioning computational resources in a scalable, on- demand fashion. Nevertheless, service developers, providers, and integrators still need to create methods, tools and techniques to support cost-effective and secure development as well as use of dependable devices, platforms, services and service- oriented applications in the cloud. The European Conference on Service-Oriented and Cloud Computing (ESOCC) is the premier conference on advances in the state of the art and practice of service- oriented computing and cloud computing in Europe. The main objectives of this conference are to facilitate the exchange between researchers and practitioners in the areas of service-oriented computing and cloud computing, as well as to explore the new trends in those areas and foster future collaborations in Europe and beyond. Topics of interest ESOCC 2022 seeks original, high quality papers related to all aspects of service- oriented and cloud computing. Specific topics of interest include but are not limited to: - Service and Cloud Computing Models  • Design patterns, guidelines and methodologies  • Governance models  • Architectural models  • Requirements engineering  • Formal Methods  • Model-Driven Engineering  • Quality models  • Security, Privacy & Trust models  • Self-Organising Service-Oriented and Cloud Architectures Models  • Testing models - Service and Cloud Computing Engineering  • Service Discovery, Matchmaking, Negotiation and Selection  • Monitoring and Analytics  • Governance and management  • Cloud Interoperability, Multi-Cloud, Cross-Cloud, Federated Cloud solutions  • Frameworks & Methods for Building Service and Cloud based Applications  • Cross-layer adaptation  • Edge/Fog computing  • Cloud, Service Orchestration & Management  • Service Level Agreement Management  • Service Evolution/Optimisation  • Service & Cloud Testing and Simulation  • QoS for Services and Clouds  • Semantic Web Services  • Service mining  • Service & Cloud Standards  • FaaS / Serverless computing - Technologies  • DevOps in the Cloud  • Containerized services  • Emerging Trends in Storage, Computation and Network Clouds  • Microservices: Design, Analysis, Deployment and Management  • Next Generation Services Middleware and Service Repositories  • RESTful Services  • Service and Cloud Middleware & Platforms  • Blockchain for Services & Clouds  • Services and Clouds with IoT  • Fog Computing with Service and Cloud - Business and Social aspects  • Enterprise Architectures for Service and Cloud  • Service-based Workflow Deployment & Life-cycle Management  • Core Applications, e.g., Big Data, Commerce, Energy, Finance, Health, Scientific Computing, Smart Cities  • Business Process as a Service - BPaaS  • Service and Cloud Business Models  • Service and Cloud Brokerage  • Service and Cloud Marketplaces  • Service and Cloud Cost & Pricing  • Crowdsourcing Business Services  • Social and Crowd-based Cloud  • Energy issues in Cloud Computing  • Sustainability issues Submissions from industry are welcome (for example, use cases). Submissions ESOCC 2022 invites submissions for the main track: - Regular research papers (15 pages including references) We only accept original papers, not submitted for publication elsewhere. The papers must be formatted according to the LNCS proceedings guidelines. They must be submitted to the EasyChair site at http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=aHBjLWFubm91bmNlCQkJ… by selecting the main track. All accepted regular research papers are expected to be published in the main conference proceedings by Springer in the Lecture Notes in Computer Science (LNCS) series (http://www.springer.com/lncs) At least one author of each accepted paper is expected to register and present the work at the conference. A journal special issue is planned, and authors of selected accepted papers will be invited to submit extended versions of their articles. Important Dates - Paper submission: 21 November 2021 - Notifications: 7 January 2022 - Camera Ready versions due: 20 January 2022 Organization General Chair • Wolf Zimmermann (Martin Luther University Halle-Wittenberg, Germany) Programme Co-Chairs • Fabrizio Montesi (University of Southern Denmark, Denmark) • George A. Papadopoulos (University of Cyprus, Cyprus)

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Call for Participation ScalA@SC: 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems
by Engelmann, Christian 29 Oct '21

29 Oct '21

We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- ScalA21: 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC21: The International Conference on High Performance Computing, Networking, Storage and Analysis in cooperation with the IEEE Computer Society Technical Consortium on High Performance Computing (TCHPC) November 19, 2021, St. Louis, MO, USA (Virtual Event) <http://www.csm.ornl.gov/srt/conferences/Scala/2021> Novel scalable scientific algorithms are needed in order to enable key science applications to exploit the computational power of large-scale systems. This is especially true for the current tier of leading petascale machines and the road to exascale computing as HPC systems continue to scale up in compute node and processor core count. These extreme-scale systems require novel scientific algorithms to hide network and memory latency, have very high computation/communication overlap, have minimal communication, and have no synchronization points. With the advent of Big Data and AI in the past few years the need of such scalable mathematical methods and algorithms able to handle data and compute intensive applications at scale becomes even more important. Scientific algorithms for multi-petaflop and exa-flop systems also need to be fault tolerant and fault resilient, since the probability of faults increases with scale. Resilience at the system software and at the algorithmic level is needed as a crosscutting effort. Finally, with the advent of heterogeneous compute nodes that employ standard processors as well as GPGPUs, scientific algorithms need to match these architectures to extract the most performance. This includes different system-specific levels of parallelism as well as co-scheduling of computation. Key science applications require novel mathematical models and system software that address the scalability and resilience challenges of current- and future-generation extreme-scale HPC systems. Workshop Program --------------- The workshop will be held as a live online session on Friday, November 19 2021, 8:30 - 12:00 in the US Central Standard Time Zone. The workshop program is also listed in the SC online program: Session - 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems<https://sc21.supercomputing.org/session/?sess=sess334>. * 8:30 - 10:00 Session 1 * 8:30 - 8:40 Opening * 8:40 - 9:20 Invited talk: "Intelligent Simulations: How Combining AI and HPC Can Enable New Discoveries", Prof. Ian Foster (University of Chicago and Argonne National Laboratory) (Abstract)<https://www.csm.ornl.gov/srt/conferences/Scala/2021/foster.html> * 9:20 - 9:40 Paper 1: "Iterative methods with mixed-precision preconditioning for ill-conditioned linear systems in multiphase CFD simulations," Takuya Ina, Yasuhiro Idomura, Toshiyuki Imamura, Susumu Yamashita, and Naoyuki Onodera * 9:40 - 10:00 Paper 2: "Optimized Cascadic Multigrid Parareal Method for Explicit Time-Marching Scheme," Yen-Chen Chen and Kengo Nakajima * 10:00 - 10:30 Coffee break (coffee on your own) * 10:30 - 12:00 Session 2 * 10:30 - 10:50 Paper 3: "Unleashing the performance of bmSparse for the sparse matrix multiplication in GPUs," Gonzalo Berger, Manuel Freire, Renzo Marini, Ernesto Dufrechou, and Pablo Ezzatti * 10:50 - 11:10 Paper 4: "Passel: Improved Scalability and Efficiency of Distributed SVM using a Cacheless PGAS Migrating Thread Architecture," Brian Page and Peter Kogge * 11:10 - 11:30 Paper 5: "Batched Sparse Iterative Solvers for Computational Chemistry Simulations on GPUs," Isha Aggarwal, Aditya Kashi, Pratik Nayak, Cody J. Balos, Carol S. Woodward, and Hartwig Anzt * 11:30 - 11:50 Paper 6: "Usability of Markov Chain Monte Carlo preconditioners in practical problems," Anton Lebedev, Vassil Alexandrov, and Emre Sahin * 11:50 - 12:00 Closing Best regards, Christian Engelmann, Oak Ridge National Laboratory, USA (Workshop Program Co-chair) on behalf of, Vassil Alexandrov, Hartree Centre, Science and Technology Facilities Council, UK (Workshop Co-chair) Al Geist, Oak Ridge National Laboratory, USA (Workshop Co-chair) Jack Dongarra, University of Tennessee, Knoxville, USA (Workshop Co-chair)

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Call for Papers: IWBDR 2021 - International Workshop on Big Data Reduction held with 2021 IEEE International Conference on Big Data
by Liang, Xin 29 Oct '21

29 Oct '21

Call for Papers: International Workshop on Big Data Reduction (IWBDR21) December 16, 2021 @ Now taking place virtually. (https://iwbdr.github.io/iwbdr21/)    Co-Located with IEEE BigData 2021.  (https://bigdataieee.org/BigData2021/)    ------------------------------------------------------------------------------ IMPORTANT DATES    Paper Submission: November 8th, 2021 Paper Acceptance Notification: November 12th, 2021 Camera-ready Deadline: November 19th, 2021  Workshop: December 16th, 2021    ------------------------------------------------------------------------------ OVERVIEW    Today’s modern applications are producing too large volumes of data to be stored, processed, or transferred efficiently. Data reduction is becoming an indispensable technique in many domains because it can offer a great capability to reduce the data size by one or even two orders of magnitude, significantly saving the memory/storage space, mitigating the I/O burden, reducing communication time, and improving the energy/power efficiency in various parallel and distributed environments, such as high-performance computing (HPC), cloud computing, edge computing, and Internet-of-Things (IoT). An HPC system, for instance, is expected to have a computational capability of floating-point operations per second, and large-scale HPC scientific applications may generate vast volumes of data (several orders of magnitude larger than the available storage space) for post-analysis. Moreover, runtime memory footprint and communication could be non-negligible bottlenecks of current HPC systems. Tackling the big data reduction research requires expertise from computer science, mathematics, and application domains to study the problem holistically, and develop solutions and harden software tools that can be used by production applications. Specifically, the big-data computing community needs to understand a clear yet complex relationship between application design, data analysis and reduction methods, programming models, system software, hardware, and other elements of a next-generation large-scale computing infrastructure, especially given constraints on applicability, fidelity, performance portability, and energy efficiency. New data reduction techniques also need to be explored and developed continuously to suit emerging applications and diverse use cases.   All papers accepted for this workshop will be included in the Workshop Proceedings published by the IEEE Computer Society Press, made available at the IEEE BigData Conference.    ------------------------------------------------------------------------------ WORKSHOP SCOPE  There are at least three significant research topics that the community is striving to answer: (1) whether several orders of magnitude of data reduction is possible for extreme-scale sciences; (2) understanding the trade-off between the performance and accuracy of data reduction; and (3) solutions to effectively reduce data size while preserving the information inside the big datasets. The goal of this workshop is to provide a focused venue for researchers in all aspects of data reduction in all related communities to present their research results, exchange ideas, identify new research directions, and foster new collaborations within the community.   The focus areas for this workshop include, but are not limited to: - Data reduction techniques for big data issues in high-performance computing (HPC), cloud computing, Internet-of-Things (IoT), edge computing, machine learning and deep learning, and other big data areas: - Lossy and lossless compression methods - Approximate computation methods - Compressive/compressed sensing methods - Tensor decomposition methods - Data deduplication methods - Domain-specific methods, e.g., structured/unstructured meshes, particles, tensors - Accuracy-guarantee data reduction methods - Optimal design of data reduction methods - Data reduction challenges and solutions in observational and experimental environments - Mathematical methods with robustly estimable or provable error bounds for both data and quantities of interest - Metrics and infrastructures to evaluate reduction methods and assess quality/fidelity of reduced data - Uncertainty quantification for reduction methods/models/representations - Benchmark applications and datasets for big data reduction - Data analysis and visualization techniques leveraging reduced data - Characterizing the impact of data reduction techniques on applications - Hardware-software co-design of data reduction - Trade-offs between accuracy and performance on emerging computing hardware and platforms - Resource-constrained and/or time-constrained data reduction methods - Software, tools, and programming models for managing reduced data - Runtime systems and supports for data reduction - Development of composable data reduction pipelines/workflows - Automation of data reduction in scientific workflows - Data reduction challenges and solutions in observational and experimental environments ------------------------------------------------------------------------------ SUBMISSION INSTRUCTIONS - Camera-ready version of accepted papers must be compliant with the IEEE Xplore format for publication.  - Submissions must be in PDF format. - Submissions are required to be within 6 pages for short paper or 10 pages for full paper (including references).  - Authors with accepted papers may purchase additional up to 2 pages. - Submissions must be single-spaced, 2-column pages in IEEE Xplore format.  - Submissions are NOT double-blind.  - Only web-based submissions are allowed. - All submission deadlines are Anywhere on Earth - Please submit your paper via the submission system.  - Submission link: Cyberchair submissions website (https://wi-lab.com/cyberchair/2021/bigdata21/scripts/submit.php?subarea=S15…)    ------------------------------------------------------------------------------ GENERAL CHAIRS    - Dingwen Tao, Washington State University - Xin Liang, Missouri S&T  - Sheng Di, Argonne National Laboratory    ------------------------------------------------------------------------------ PROGRAM COMMITTEE    - Allison Baker, National Center for Atmospheric Research - Mehmet Belviranli, Colorado School of Mines - Martin Burtscher, Texas State University - Franck Cappello, Argonne National Laboratory - Jon Calhoun, Clemson University - Jieyang Chen, Oak Ridge National Laboratory - Yimin Chen, Lawrence Berkeley National Laboratory - Soumya Dutta, Los Alamos National Laboratory - William Godoy, Oak Ridge National Laboratory - Pascal Grosset, Los Alamos National Laboratory - Hanqi Guo, Argonne National Laboratory - Muhammad Asif Khan, Qatar University - Beiyu Lin, University of Nevada, Las Vegas - Shaomeng Li, National Center for Atmospheric Research - Habib Rehman, Khalifa University - Tao Lu, Marvell Technology Group - Panruo Wu, University of Houston - Wen Xia, Harbin Institute of Technology, Shenzhen

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Call For Participation for 6th Workshop on Approximate Computing (AxC21)
by Savino Alessandro 28 Oct '21

28 Oct '21

============================= CALL FOR PARTICIPATION ============================= 6th Workshop on Approximate Computing (AxC21) - Virtual Event The Sixth Workshop on Approximate Computing in conjunction with ICCAD 2021 will be a virtual event and November 04th, 2021 is approaching! Register today: https://iccad.com/registration.php ============================= TECHNICAL PROGRAM (time zone is UTC-7) ============================= (Technical program also available at http://perso.ec-lyon.fr/alberto.bosio/AxC21/#program) 07:20–07:30 - Opening (Welcome Message from Chairs) 07:30–09:50 - Invited Talks (40 minutes each (with Q&A) + 10 minute break) * Approximate Computing for Low Power Circuits and Systems Weiqiang Liu - Nanjing University of Aeronautics and Astronautics, Nanjing, China * Automated and Sound Approximation of Numerical Kernels Eva Darulova - Max Planck Institute for Software Systems (MPI-SWS) * Approximate Computing – The Holy Grail of Low-Energy Electronic Systems? Jari Nurmi - Tampere University 09:50–10:00 - Break 10:00–11:00 - Session 1: Approximate computing in Machine Learning and DSP Applications (15m + 5m Q&A each) * Neural Network Hardware Acceleration Based on Hybrid Approximate Multipliers Authors: Siyuan Liang, Ke Chen, Pengfei Huang, Peipei Yin and Weiqiang Liu * CNN Compression through Retraining-free Weight Sharing Authors: Etienne Dupuis, David Novo, Ian O'Connor and Alberto Bosio * Combining Logic Refactoring and Approximate Computing to Power- and Area-Efficient Gaussian Filter Designs Authors: Marcio Monteiro, Ismael Seidel, Mateus Grellert, Jose Luis Güntzel, Leonardo Soares and Cristina Meinhardt 11:00–11:10 - Break 11:10–12:10 - Session 2: Approximate Design Techniques (15m + 5m Q&A each) * Approximate PIM: An IMPLY-based Approximate Adder Authors: Seyed Erfan Fatemieh, Mohammad Reza Reshadinezhad and Nima Taherinejad * Assertion-aware based approximate computing Authors: Moreno Bragaglio, Samuele Mori, Samuele Germiniani, Alberto Bosio, Marcello Traiola and Graziano Pravadelli * Task Scheduling on Mixed-Precision MPSoC Authors: Ahmad Sadigh Baroughi, Stefan Huemer, Hadi Shahriar Shahhoseini and Nima Taherinejad 12:10–12:20 - Break 12:20–13:20 - Session 3: Approximate Synthesis for FPGA targets (15m + 5m Q&A each) * Approximation Space Exploration for FPGA Accelerators Using Fault Injection Authors: Ioannis Tsounis, Athanasios Papadimitriou and Mihalis Psarakis * Exploring a Decision Tree Synthesis Flow for Approximate Circuits Authors: Isac Campos, Augusto Berndt, Brunno Abreu, Jonata Carvalho, Mateus Grellert and Cristina Meinhard * A Catalog-based AIG-Rewriting Approach to the Design of Approximate Components Authors: Mario Barbareschi, Salvatore Barone, Nicola Mazzocca and Alberto Moriconi 13:20–13:30 - Closing Session ============================= ORGANIZING COMMITTEE ============================= General Co-Chairs: Alexandra Kourfali - Stuttgart U (DE) Alberto Bosio - ECL (FR) Program Co-Chairs: Alessandro Savino - POLITO (IT) Jürgen Teich - FAU (DE) Review Chair: Mario Barbareschi - UniNa (IT)

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IEEE CCNC 2022: Call for Demonstration and Poster Papers, Deadline Extended November 10, 2021
by Roy, Debashri 28 Oct '21

28 Oct '21

*[Please accept our sincere apologies if you receive multiple copies of this announcement]* ================================================== 19th IEEE Consumer Communications & Networking Conference (CCNC) Las Vegas, January 8-11, 2022 (VIRTUAL CONFERENCE) https://ccnc2022.ieee-ccnc.org ================================================== The IEEE Consumer Communications and Networking Conference (CCNC), sponsored by the IEEE Communications Society, is a major annual international conference. Taking advantage of its co-location with the International Consumer Electronics Show (CES), which is the world's largest trade show on consumer technology, CCNC is organized to help the consumer electronics industry drive the advancement of the numerous wireless and wireline communications technologies that will one day provide on-demand access to both entertainment and information anytime, anywhere, regardless of time or location. This includes a detailed analysis of nearly every technological area ranging from cognitive and peer-to-peer networking to the designer services and tools used to ensure ease-of-use, security and stunning interactivity. The conference will present the latest developments and technical solutions in the areas of large scale experimentation, home/consumer networking, efficient wireless spectrum use, enabling technologies, and novel applications and services. The conference will include a peer-reviewed program of technical sessions, special sessions, industry track sessions, tutorials, and demonstration sessions. ======================================== CALL FOR DEMONSTRATIONS PAPERS ======================================== We invite researchers and developers from academic, industrial, and government laboratories to present their novel ideas and demonstrations of original research prototypes. CCNC especially welcomes demonstrations of emerging and innovative technologies that have potential commercial application from nascent and incubating companies. In addition, authors that have a demonstration component in their work and have submitted their papers to the main technical tracks are highly encouraged to also submit proposals to the demonstration session. PROPOSAL FORMAT Demonstration proposals should be one or two pages in length, in double-column IEEE format, including authors' names and affiliations and a short abstract. All Demonstration papers should be submitted via EDAS. Accepted papers will appear in the conference proceedings, along with the regular main track and work in progress papers. Each proposal should describe the main contributions of the demonstration and the merits of the proposed idea. More information can be found at: https://ccnc2022.ieee-ccnc.org/authors/call-technical-papers/call-demonstra… DEMONSTRATION CHAIR Ebrahim Saberinia, University of Nevada, Las Vegas IMPORTANT DATES Demonstrations Proposals Due: 10 November 2021 (Extended) Demonstrations Acceptance Notification: 25 November 2021 Final Camera-ready Artwork: 1 December 2021 ======================================== CALL FOR POSTER PAPERS ======================================== We invite researchers and developers from academic, industrial, and government laboratories to present their novel ideas along the topics published for the main conference tracks in the form of a poster. Posters are especially suited for presenting controversial research directions that may generate discussion, or promising ideas not yet fully validated through complete extensive evaluation. Submitted poster papers must be one or two pages in length, in double-column IEEE format, including authors' names and affiliations and a short abstract. All Poster papers should be submitted via EDAS. Accepted papers will appear in the conference proceedings, along with the regular main track and work in progress papers. More information can be found at: https://ccnc2022.ieee-ccnc.org/authors/call-technical-papers/call-posters POSTER CHAIR Enrico Natalizio, Technology Innovation Institute, UAE IMPORTANT DATES Demonstrations Proposals Due: 10 November 2021 (Extended) Demonstrations Acceptance Notification: 25 November 2021 Final Camera-ready Artwork: 1 December 2021

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[CFP] 2nd Int. Conf. on Image Processing and Vision Engineering :: Submission Deadline - 30th of November
by calendarsites＠insticc.org 27 Oct '21

27 Oct '21

CALL FOR PAPERS 2nd International Conference on Image Processing and Vision Engineering **Submission Deadline: November 30, 2021** https://improve.scitevents.org/ April 22 - 24, 2022 Online Streaming Dear Colleagues, Given the uncertainties of the current international situation, including constraints on traveling, logging and large gatherings we have decided to convert the conference completely into a web-based event. As a consequence of this change, we have strongly reduced the registration fees, so we would like to invite you to contribute and submit your original research paper to IMPROVE 2022. IMPROVE is a comprehensive conference of academic and technical nature, focused on image processing and computer vision practical applications. It brings together researchers, engineers and practitioners working either in fundamental areas of image processing, developing new methods and techniques, including innovative machine learning approaches, as well as multimedia communications technology and applications of image processing and artificial vision in diverse areas. Conference Chair Sebastiano Battiato, University of Catania, Italy Program Chair(s) Francisco Imai, Apple Inc., United States Cosimo Distante, CNR, Italy With the presence of internationally distinguished keynote speakers: Jiri Matas, Czech Technical University in Prague, Faculty of Electrical Engineering, Czech Republic Michael Bronstein, Imperial College London, United Kingdom Proceedings will be submitted for indexation by: SCOPUS, Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Microsoft Academic, Engineering Index (EI), Web of Science / Conference Proceedings Citation Index. A short list of presented papers will be invited for a post-conference special issue of the Springer Nature Computer Science journal. All papers presented at the conference venue will also be available at the SCITEPRESS Digital Library. Kind regards, Monica Saramago IMPROVE Secretariat Web: http://improve.scitevents.org e-mail: improve.secretariat(a)insticc.org

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CFP: The 17th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2022)
by Baruwal Chhetri, Mohan (Data61, Docklands GS) 27 Oct '21

27 Oct '21

Call for Papers: SEAMS 2022 The 17th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) Co-located with the 44th International Conference on Software Engineering (ICSE 2022) Pittsburgh, PA, USA. May 23-24, 2022 https://conf.researchr.org/home/seams-2022 ============================================================ IMPORTANT DATES (AoE) * Abstract submission: January 13th, 2022 * Paper submission: January 20th, 2022 * Notification: March 4th, 2022 ============================================================ SCOPE Today we are building an exciting future in which autonomous vehicles navigate complex environments, smart cities help to solve public problems and achieve a higher quality of life, and service robots support social care workers or perform tasks that are too dangerous for humans. All these software-intensive systems need to continuously preserve and optimize their operation in the presence of uncertain changes in their operating environment, resource variability, evolving user needs, attacks and faults. In addition to that, the complexity of these systems demands autonomy, self-management, and self-adaptation. SEAMS is a CORE A conference that focuses on developing and applying software engineering methods, techniques, processes, and tools to support the construction of safe, performant, and cost-effective self-adaptive and autonomous systems that provide self-* properties like self-configuration, self-healing, self-optimization, and self-protection. The objective of SEAMS is to bring together researchers and practitioners from academia, industry and government, to investigate, discuss, examine and advance the fundamental principles, the state of the art, and the solutions addressing critical challenges of engineering self-adaptive and self-managing systems. ============================================================ TOPICS OF INTEREST We welcome research contributions on all topics related to engineering self-adaptive, self-managing, and autonomous systems, including: Foundational Concepts * Self-* properties * Uncertainty * Runtime models and variability * Mixed-initiative and human-in-the-loop * Ethical challenges Engineering Strategies * AI and machine learning * Automatic synthesis techniques * Control theory * Search-based techniques * Model checking * Simulation and digital twins Engineering Activities * Domain/environment analysis * Requirements elicitation * Architecture and design * Verification and validation * Systematic reuse * Processes and methodologies Languages * Formal notations for self-* properties * Domain specific languages * Programming language support ...and all application areas and domains, including but not limited to: industrial internet of things, cyber-physical systems, cloud/fog/edge computing, bioengineering, robotics, smart environments, smart user interfaces, privacy and security. A special focus of SEAMS 2022 is SEAMS in industry, and we especially solicit papers on in-practice applications, challenges and hard problems that industries face when building modern autonomous and adaptive systems. ============================================================ TYPES OF PAPERS SEAMS 2022 solicits the following types of papers: ------------------------------------------------------------- RESEARCH TRACK ------------------------------------------------------------- * Research papers (10 pages + 2 pages of references): papers offering novel and mature research contributions, as well as experiences gained from applying or evaluating research results in practice. * Short papers (6 pages + 1 page of references): papers presenting ongoing research or new research ideas without a complete evaluation. ------------------------------------------------------------- ARTIFACT TRACK ------------------------------------------------------------- * Artifact papers (6 pages + 1 page of references): describe model problems, exemplars, or sets of resources (e.g., data sets, tools, and frameworks) that are useful for the broader SEAMS community to develop, evaluate, and compare self-adaptation approaches. Please check the specific call for this type of paper at following link: https://conf.researchr.org/track/seams-2022/seams-2022-papers#Call-for-Arti… ------------------------------------------------------------- INDUSTRY TRACK ------------------------------------------------------------- * SEAMS in-practice papers (up to 10 pages, including references): address real-world experience, failures, challenges, and opportunities of autonomous, adaptive, and self-managing systems or components through systematic investigations. Papers should describe industry-relevant experiences and best practices and an in-depth discussion of results and lessons learned. The evaluation criteria for submissions include potential impact, repeatability, and a real-world focus. Accepted papers will appear in the proceedings. * Self-nominated invited industrial talks (2 pages of abstract, talk organization - possibly video recording, and description of speaker(s)): must feature current trends in the industry on the engineering and/or management of autonomous, adaptive, and self-managing systems or components. Talks should present ideas that are both inspirational and informative. Proposals should make clear why the talk is interesting to attendees of the in-practice track of SEAMS 2022. The duration of accepted talks is 30 minutes. Extended abstracts of the accepted talks will appear in the proceedings. ------------------------------------------------------------- DOCTORAL TRACK ------------------------------------------------------------- * Doctoral papers (4 pages + 1 page of references): research in progress that is intended to lead to a doctoral dissertation. ============================================================ PAPER SUBMISSION AND FURTHER DETAILS Visit the SEAMS 2022 Symposium website for the complete Call for Papers (https://conf.researchr.org/track/seams-2022/seams-2022-papers#About) More details can be found there on: Types of paper submissions How to submit a paper The review process Conference Attendance requirements Best Paper Awards Community Debates.

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CFP – Special session in IMCIC 2022
by Molka Rekik 26 Oct '21

26 Oct '21

*Apologies if you received multiple copies.* * Thanks for forwarding the information on this Call for Submissions to those potentially interested to submit.* *Dear colleagues, * The special session *“Smart Systems For Fighting The Covid-19 Pandemic” *will be organized during the “The 13th International Multi-Conference on Complexity, Informatics and Cybernetics: *IMCIC 2022©, March 8 - 11, 2022 ~ Orlando, Florida, USA* (https://www.iiis-spring22.org/imcic/) *This special session will be organized by*: - *Special Session Chair:* *Dr. Molka Rekik*, Assistant professor at the Information Systems Dept. PSAU, KSA & Member of the Data Engineering and Semantics Research Unit, Faculty of Sciences of Sfax, University of Sfax, Sfax, Tunisia. - *Special Session Co-Chair:* *Dr. Mahdi Khemakhem,* Associate professor at the Mathematics and Business Intelligence Dept., College of Electronic and Telecommunication Engineering ENET’COM & Member of the Data Engineering and Semantics Research Unit, Faculty of Sciences of Sfax, University of Sfax, Sfax, Tunisia. *Description:* The COVID-19 pandemic has underscored the importance of AI and Machine Learning (ML) as well as Deep learning (DL), particularly as a tool that can enable faster decision-making. In fact, DL and ML have become core technologies for IoT-based data analysis and visualization by providing a new set of algorithms and tools allowing the fast treatment and management of COVID-19 infected patients, improving workflow efficiencies, and scaling through unprecedented and uncertain times. By learning complex relationships directly from data, these kinds of algorithms are also very promising to empower an advancement along with multiple research directions such as, model/data parallelism, model/data compression, distributed optimization algorithms for DL convergence, synchronization strategies, efficient communication, and specific hardware acceleration. The goal of this special session is to take advantage of such research advancement and decide what tailor-based designs for COVID-19 management problems; where they have to be deployed (cloud Vs. fog Vs. edge); and how to manage their life cycle (from data harvesting to decision making smart systems). In other terms, this session aims to present recent advances in the field of smart systems adopting traditional management/provisioning and optimization algorithms, AI-based models, or even hybrid approaches for real-time COVID-19 predicting and decision making with excellent and efficient performance in terms of accuracy, speed, and cost. Obviously, such smart systems might be combined with wearable, medical and/or non-medical equipment for fighting the COVID-19 pandemic. *Topics:* This special session gathers but is not limited to the following topics: - Learning for optimization COVID-19 problems. - Optimization for learning COVID-19 systems. - Distributed COVID-19 multi-objective satisfaction and optimization. - Optimization under COVID-19 uncertainty. - Optimization with incomplete or dynamic COVID-19 input data. - Algorithms for COVID-19 real-time applications. - Cloud, distributed, fog, edge, and grid computing for COVID-19. - Learning and Optimization in Societally Beneficial Domains, especially in time of COVID-19 pandemic. *Important dates:* - *Submission Deadline (EXTENDED): December 14th, 2021* - *Notifications of acceptance: January 11th, 2021* - *Submission of camera-ready: February 4th, 2021* - *Registration Deadline: TBA* *Participation:* Participation to this special session will be *Online*. For more details, you can visit the conference website: https://www.iiis-spring22.org/imcic/ *Submissions:* *Extended abstracts **or draft papers should be submitted taking into account the following format:* - Each submission should be related to at least one of the major themes, or the special symposia, given above. - Each submission should have a title. - Extended abstracts should have 600 to 2000 words and draft papers should have 2000 to 5000 words, in English. - Author(s) with names, addresses, telephone and fax numbers, and e-mail addresses should be included. - Each author making a submission should necessarily suggest at least one or two (accordingly to the submission option selected) and a maximum of three reviewers for the open review of the submitted extended abstract or paper draft, according to the acceptation policy stated below. - For more details, visit the following link: https://www.iiis-spring22.org/imcic/website/submissionformat.asp?vc=26 *Note: * - Submissions should be sent via E-mail to molka.rekik(a)gmail.com - Final acceptance of submissions will be confirmed after at least one author valid registration. - All accepted and registered papers will be published in the proceedings of the 2022 International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC: https://www.iiis-spring22.org/imcic/) - The best 30% of all (invited and regular) sessions' best papers will be published in the JSCI Journal. *Contact: **For more information, please contact the special session chair:* *Dr. Molka Rekik - **Email:* molka.rekik(a)gmail.com or m.rekik(a)psau.edu.sa - *WhatsApp:* +966.5.39.41.83.07 *Enclosed to this email is the special session CFP file for broadcasting/displaying via your organizations. * *We look forward to this new experience and we thank you for your understanding and your support.* *Best Regards* Molka Rekik & Mahdi Khemakhem -- -------------------------------------------------------------------------------------------------------------- Molka Rekik Ph.D Multimedia, InfoRmation systems & Advanced Computing Laboratory -Miracl ( http://www.miracl.rnu.tn/) Sfax University, Tunisia Faculty of Economic Sciences and Management of Sfax (FSEGS) Computer Science Department ---------------------------------------------------------------------------------------------------------------

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Fwd: CALL FOR PAPERS - AusPDC 2022
by Adel N. Toosi 25 Oct '21

25 Oct '21

(Apologies if you received duplicate copies of this CFP) ============================ AusPDC 2022 will be held online in conjunction with Australasian Computer Science Week (ACSW 2022), 14 - 18 February 2022 (http://acsw.core.edu.au/) **SCOPE OF THE SYMPOSIUM** In 2010, AusGrid event was broadened to include all aspects of parallel and distributed computing and hence was called as Australasian Symposium on Parallel and Distributed Computing (AusPDC). Following a couple of successful events, it comes to the 20th in 2022 in the series. In both New Zealand and Australia parallel and distributed computing has been recognised as strategic technologies for driving their moves towards knowledge economies. The symposium is primarily targeted at researchers from Australia and New Zealand, however, in the spirit of parallel and distributed computing, which aims to enable collaboration of distributed virtual organizations, and also the conference being held online this year, we encourage papers and participation from international researchers. **TOPICS OF INTEREST** - Cloud computing - Fog/edge computing - Grid and Cluster computing - Big Data processing and analytics - Virtualization, containers, unikernels, orchestration and other enablers - Security, trust and privacy in Clouds/Fog/Edge - Mobile, sensor networks and Internet of things - Data storage, placement and replication - Distributed Ledger Technologies and Blockchains - Multi-core systems - Peer-to-peer computing - GPUs and other forms of special purpose processors - Service computing and workflow management - Managing large distributed data sets - Middleware and tools - Network function virtualisation and Software defined networks - Performance evaluation and modelling -Datacentre and Interconnection networks - Performance accelerators - Problem-solving environments - Parallel programming models, languages and compilers - Operating systems and runtime systems - Resource scheduling and load balancing - Data mining and machine learning - Computational Science and Engineering - Agent-based computing - Reliability, security, privacy and dependability -e-Science and e-Health Applications **IMPORTANT DATES** Paper submissions due: 19 November 2021 Author notification: 19 December 2021 Camera-ready full papers due: 14 January 2021 Conference dates: 14 - 18 February 2022 **PAPER SUBMISSION** The proceedings of the symposium will be published by ACM in conjunction with ACSW 2022. Papers should be formatted in double-column according to ACM conference paper formatting guidelines ACM SIG Proceedings Templates. The following guidelines must be met for all submissions: - Submissions must be in English. - Submissions must not exceed 10 pages for full papers, 4 pages for short papers and 2 pages for posters. - Submissions must be in PDF format. Other formats will not be accepted. - Submissions must clearly state the problem being addressed, the goal of the work, the results achieved, and the relation to other work. - Submissions must be original contributions that have not been published previously, nor already submitted to other conferences or journals in parallel with this conference. - Authors must choose the appropriate satellite conference or workshop for your submission Papers are to be submitted via the ACSW 2022 Easy Chair Submission Site ( https://easychair.org/my/conference?conf=acsw2022) Upon logging into the system, please select “New Submission”, then select "Australasian Symposium on Parallel and Distributed Computing" track and proceed through the steps for submission. Every submission will be reviewed by a minimum of three members of the program committee. **PAPER AWARDS** A selection commission chaired by the AusPDC technical programme committee will select and acknowledge the best paper and the best student paper to receive an award during the conference. Committee **GENERAL CO-CHAIRS** Rajkumar Buyya, University of Melbourne, Australia Bahman Javadi, Western Sydney University, Australia **PROGRAM COMITTEE CHAIRS** Adel N. Toosi, Monash University, Australia Sara Khalifa, CSIRO’s Data61, Australia **STEERING COMMITTEE** Schahram Dustdar, Technical University of Vienna, Austria Zahir Tari, RMIT University, Australia Salil Kanhere, University of New South Wales, Sydney, Australia Yun Yang, Swinburne University of Technology, Australia Javid Taheri, Karlstad University, Sweden **VENUE** Due to COVID-19, AusPDC 2022 will be held online this year. **CONTACT** All questions about submissions should be emailed to program chairs. For further information, see https://sites.google.com/monash.edu/auspdc2022 Best regards, Adel N. Toosi and Sara Khalifa AusPDC PC Chairs. ============================

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The 22th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2022)
by angalletta＠ieee.org 25 Oct '21

25 Oct '21

Dear users of Hpc-Announce mailing list, ============================================================================= The 22th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2022) in conjunction with the 6th IEEE International Conference on Fog and Edge Computing (ICFEC 2022) May 16-19, 2022, Taormina, Sicily, Italy* http://fcrlab.unime.it/ccgrid22/ Sponsored by: IEEE Computer Society / Technical Committee on Scalable Computing ACM SIGARCH Hosted/Organised by: * University of Messina, Italy * Cardiff University, UK * University of Klagenfurt, Austria * Ohio State University, USA * Future Computing Research LAB (FCRLAB), Italy ============================================================================= *The safety and well-being of all conference participants is our priority. The CCGrid organizers are closely monitoring the developments of COVID-19. Call For Papers The 22nd IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid 2022) is a leading forum to disseminate and discuss research activities and results on a broad range of topics in distributed systems, ranging from computing Clusters to widely distributed Clouds and emerging Internet computing paradigms such as Fog/Edge Computing for Internet of Things (IoT)/Big Data applications. The conference features keynotes, technical presentations, posters, workshops, tutorials, as well as the SCALE challenge featuring live demonstrations and the ICFEC 2022 conference. We solicit original contributions on all aspects of distributed systems and applications in the context of Cluster, Cloud, and Internet computing environments. Specific topics of interest include but are not limited to the following: Track 1: Future Internet computing systems Topics in the track: - Internet Computing Frontiers: Edge, Fog, Serverless, Lambda, Streaming, Highly decentralized approaches to cloud computing. Edge/Fog computing, sensor data streaming and computation on the edges of the network. Function as a Service (Faas), Backend as a Service (BaaS), serverless computing, lambda computing. - Future Internet: 5G/6G and Use cases of 5G/6G system. Software defined networking and 5G/6G. 5G/6G cyber security challenges and concerns Machine learning algorithms for 5G/6G systems; - Osmotic Computing: Cloud Continuum with Osmosis behaviors, Micro Services and MicroData, Software Defined Membranes; - Cloud-Economics: Trustworthiness of services, ecosystem economics, innovative metering, accounting, and billing methods and tools, automated trading and bidding support tools, performance monitoring, optimization, prediction, energy efficiency, sustainability, decision support systems. Track 2: Programming models and runtime systems Topics in the track: - Programming Models and Runtime Systems: Programming models, languages, systems and tools/environments. Virtualization, containers, and middleware technologies. Actors, agents, programming decentralized computing systems. Track 3: Distributed middleware and network architectures Topics in the track: - Architecture, Networking, Data Centers: Service oriented architectures. Utility computing models. IaaS, PaaS, SaaS, *aaS paradigms. Service composition and orchestration. Software-Defined Network-enabled Systems. Micro-datacenter, cloudlet, edge, or fog computing infrastructure. Virtualized hardware: GPUs, tensor processing units, FPGAs; - Cloud-to-Things continuum: Service provisioning and monitoring in a Cloud-to-Things environment; Resource elasticity in Cloud-to-Things contexts; Algorithms and systems for automated elasticity; Blockchain-based resource orchestrator; Machine learning techniques for resource orchestration; Security policies in Cloud-to-Things. Track 4: Storage and I/O systems Topics in the track: - Storage and I/O Systems: Distributed storage, cloud storage, Storage as a Service, data locality techniques for in-memory processing, storage in the edge. Track 5: Security, privacy, trust and resilience Topics in the track: - Cyber-Security, Privacy and Resilient Distributed Systems: Distributed. Systems security and trust Access control. Data privacy and integrity.. Regulation. Resiliency of service attacks. Track 6: Performance modeling, scheduling, and analysis Topics in the track: - Resource Management and Scheduling: Resource allocation algorithms, profiling, modeling. Cluster, cloud, and internet computing scheduling and meta-scheduling techniques; - Performance Modelling and Evaluation: Performance models. Monitoring and evaluation tools. Analysis of system/application performance. Track 7: Sustainable and green computing Topics in the track: - Sustainable and Green Computing: Environment friendly computing ecosystems. Hardware/software/application energy efficiency. Power, cooling and thermal awareness. Track 8: Scientific and industrial applications Topics in the track: - Applications: Data Science, Artificial Intelligence, Machine Learning, Cyber-Physical Systems, e-Health, Internet of Things (IoT)-enabled Smart Systems and Applications; - Digital Twins: Digital Twins and Industry 4.0. Digital Twins and emerging technologies linked to IoT Platforms. Digital Twin the virtual replica of a physical entity. Track 9: Artificial intelligence, Machine Learning and Deep Learning Topics in the track: - Artificial Intelligence: Large Scalable Machine Learning, AI at the Edge and in the Cloud. Cognitive computing; - Machine learning: deep learning, statistical learning, natural language processing, computer vision, data mining, multiagent systems, knowledge representation; - Applicative domains: healthcare, sustainability, transportation, commerce,neuroscience and cognitive science; - Quantum machine learning. ================================================================================ Paper Submission: ================= Authors are invited to submit papers electronically through the following link: https://fcrlab.unime.it/ccgrid22/paper-submission/ Submitted manuscripts should be structured as technical papers and may not exceed 10 letter size (8.5 x 11) pages including figures, tables and references using the IEEE format for conference proceedings. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and relevance to the conference attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the conference chairs for more information. The proceedings will be published through the IEEE Press, USA and will be made online through the IEEE and ACM Digital Libraries. Important Dates: ================== Timezone: Anywhere in the world! Paper Due (Abstract): 24 November 2021 (Final paper submission: 01 December 2021) Full Paper Due: 01 December 2021 Acceptance Notification: 04 February 2022 Camera Ready Papers Due: 06 March 2022 Best Paper Awards: ================== CCGrid will present Best Paper Awards to the author(s) of top three papers selected by the Program Committee. The award will be determined based on review comments and ratings, viewpoints of the technical and scientific merits, impact on the science and engineering of the research work and the clarity of presentation of the research contents in the paper. Journal Special Issue: ====================== Highly top rated papers from the CCGrid 2022 conference will be invited for submission of extended version for publication in one of the following special issues: - "Software: Practice and Experience" Journal published by Wiley Press; - "Green Communications via Optimization Techniques" for Sustainable Computing: Informatics and Systems published by Elsevier. General Co-Chairs: ================== Massimo Villari, University of Messina , Italy Omer Rana , Cardiff University, UK Program Committee Co-Chairs: ============================= Maria Fazio, University of Messina, Italy Radu Prodan University of Klagenfurt Austria Dhabaleswar K. (DK) Panda Ohio State University. USA Workshop Co-Chairs: ============================== Haiying Shen, University of Virginia, USA Antonio Celesti, University of Messina, Italy Publicity Co-Chairs: ============================== Jithin Jose, Microsoft, USA Bahman Javadi, Western Sydney University, Australia Ching-Hsien Hsu, National Chung Cheng University, Taiwan Carlos Westphall, Federal University of Santa Catarina, Brazil Zhicheng Cai, Nanjing University of Science and Technology, China Helene Coullon, Inria, France Sukhpal Singh Gill, Queen Mary University of London, UK Antonino Galletta, University of Messina, Italy Vice Chairs: ============================== Track 1: Future Internet computing systems: Hai Jin, Huangzong University of Science and Technology, China Lydia Y. Chen, TU Delft, Netherlands Track 2: Programming models and runtime systems: Taisuke Boku, University of Tsukuba, Japan Martin Schulz, Technical University of Munich, Germany Track 3: Distributed middleware and network architectures: Nectarios Koziris, National Technical University of Athens, Greece Hari Subramoni, Ohio State University, USA Track 4: Storage and I/O systems: Suren Byna, Lawrence Berkeley National Laboratory, USA Maria S. Perez, Universidad Politecnica de Madrid, Spain Track 5: Security, privacy, trust and resilience: Erman Ayday, Case Western Reserve University, USA Richard Sinnott, University of Melbourne, Australia Track 6: Performance modeling, scheduling, and analysis: Sameer Shende, University of Oregon, USA Ana Lucia Varbanescu, University of Amsterdam, Netherlands Track 7: Sustainable and green computing: Young Choon Lee, Macquarie University, Australia Wu Feng, Virginia Tech, USA Track 8: Scientific and industrial applications: Vipin Chaudhary, Case Western Reserve University, USA Dana Petcu, West University of Timisoara, Romania Track 9: Artificial intelligence, Machine Learning and Deep Learning: Manish Parashar, University of Utah, USA Ashiq Anjum, University of Leicester, UK CCGrid Steering Committee: ========================= Henri Bal, Vrije University, The Netherlands Pavan Balaji, Argonne National Laboratory, USA Rajkumar Buyya, University of Melbourne, Australia Franck Capello, University of Paris-Sud, France Jesus Carretero, Universidad Carlos III de Madrid, Spain Ewa Deelman, University of Southern California/ISI, USA Marios Dikaiakos, University of Cyprus, Cyprus Jack Dongarra, University of Tennessee & ORNL, USA Tarek El-Ghazawi, George Washington University, USA Dick Epema, Technical University of Delft, The Netherlands Thomas Fahringer, University of Innsbruck, Austria Ian Foster, University of Chicago, USA Wolfgang Gentzsch, UberCloud, Germany Hai Jin, Huazhong University of Science & Technology, China Craig Lee, The Aerospace Corporation, USA Laurent Lefevre, INRIA, France Manish Parashar, Rutgers: The State University of New Jersey, USA Shikharesh Majumdar, Carleton University, Canada Satoshi Matsuoaka, Tokyo Institute of Technology, Japan George Pallis, University of Cyprus, Cyprus Dhabaleswar K Panda, The Ohio State University, USA Omer Rana, Cardiff University, UK Paul Roe, Queensland University of Technology, Australia Bruno Schulze, LNCC, Brazil Yogesh Simmhan, Indian Institute of Science, India Xian-He Sun, Illinois Institute of Technology, USA Nalini Venkatasubramanian, University of California, USA Carlos Varela, Rensselaer Polytechnic Institute, USA. Massimo Villari, University of Messina, Italy Cho-Li Wang, University of Hong Kong, China Cheng-Zhong Xu, University of Macau, China ================================================================================

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