4th Software-Defined Data Computing and Storage workshop (SDDCS) co-located with ACM ASPLOS 2018 on March 25, 2018 in Williamsburg, VA, USA
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 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)
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 the workshop proceedings of ACM ASPLOS 2018 and available in the ACM Digital Library. 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: February 1, 2018, 11:59pm AoE
Notification to authors: February 20, 2018
Final paper files due: March 10, 2018, 11:59pm AoE
Submission Site:
Registration:
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