4th Software-Defined Data Computing and Storage workshop (SDDCS) co-located with ACM ASPLOS 2018 on March 25, 2018 in Williamsburg, VA, USA https://sddcs.github.io/2018/sddcs2018.html Overview The future infrastructures of data centers and cloud computing are becoming increasingly software-defined. Although the infrastructures consist of tightly connected computing, networking, and storage resources, these resources are generally studied independently. For example, studies focused on computing/network often overlook the properties of storage devices, and vice versa. Overall infrastructure performance often decreases due to miscommunication and misconfiguration of different resources. Software-defined methodologies offer an opportunity to bridge the gap and deliver high performance. But making an infrastructure "software defined" takes cross community efforts. The SDDCS workshop provides the forum for multi-disciplinary research spanning computing architecture, networking, storage systems and devices, as well as applications. SDDCS aims to bring together industry and academia to jointly explore recent progresses related to the potential performance bottleneck and the gap between computing and storage in the software-defined context. We particularly encourage contributions containing highly novel ideas, new approaches, and/or groundbreaking results. Topics Topics of interest in SDDCS include but are not limited to: Software-defined memory system for cloud computing Software-defined non-volatile devices Convergent design for computing and storage Non-volatile storage support for network transmission Storage deduplication for remote cloud backups Data collection and analytics for system optimization Dynamic workload redistribution and scheduling Processing-in-memory Near-data-computing Non-volatile devices in network switches Cross-layer coordination in data centers Storage virtualization Security for SDDCS schemes Programmable interfaces for convergent design User studies and experiences of real-world applications (e.g., graph processing, deep learning, database, etc) Submission Instructions Submitted papers must be no longer than 8 single-spaced 8.5" x 11" pages, including figures, tables, and references; two-column format, using 10-point type on 12-point (single-spaced) leading; and a text block 6.5" wide x 9" deep. Author names and affiliations should appear on the title page.The submitted papers should present original theoretical and/or experimental research in any of the areas listed above that has not been previously published, accepted for publication, or is not currently under review by another conference or journal. The accepted papers will be published in ACM International Conference Proceeding Series (pending). Selected and extended papers will be further recommended to ACM Transactions on Storage (TOS) for fast-track processing (no guarantee of acceptance). Important Dates: Paper submission due: January 25, 2018, 11:59pm AoE Notification to authors: February 20, 2018 Final paper files due: March 10, 2018, 11:59pm AoE Workshop Organizer General Co-chairs: Evgenia Smirni, College of William and Mary Yu Hua, Huazhong University of Science and Technology Program Co-chairs: Bo Wu, Colorado School of Mines Vasily Tarasov, IBM Research Publication Chair: Xing Lin, NetApp Publicity Chair: George Amvrosiadis, Carnegie Mellon University Web Chair: Pengfei Zuo, Huazhong University of Science and Technology Program Committee Member: Vaneet Aggarwal, Purdue University Bharath Balasubramanian, AT&T Labs Research Feng Chen, Louisiana State University Chris Gniady, University of Arizona Song Jiang, University of Texas, Arlington Mahmut Kandemir, Pennsylvania State University Scott Klasky, Oak Ridge National Laboratory Jay Lofstead, Sandia National Laboratories Darrell D. E. Long, University of California, Santa Cruz Ao Ma, University of Wisconsin-Madison Rajesh Panta, AT&T Labs Research Marco Paolieri, University of Southern California Lukas Rupprecht, IBM Research - Almaden Philip Shilane, Dell EMC Emina Soljanin, Rutgers University Alan Sussman, University of Maryland Ravi Tandon, University of Arizona Peter Varman, Rice University Youjip Won, Hanyang University Yuan Xie, University of California, Santa Barbara Ming Zhao, Arizona State University