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SDDCS 2018 : Fourth Software-Defined Data Computing and Storage workshop | |||||||||||||||
Link: https://sddcs.github.io/2018/sddcs2018.html | |||||||||||||||
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Call For Papers | |||||||||||||||
We invite authors to submit papers to the Fourth Software-Defined Data Computing and Storage workshop (SDDCS) which will be co-located with ACM ASPLOS 2018 and held on March 25, 2018 in Williamsburg, VA, USA.
* Overview Data center and cloud computing infrastructure is becoming increasingly software-defined. Although such infrastructure consists of tightly interconnected computing, networking, and storage components, these resources are typically studied independently. For example, studies focused on computing or networking 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 this gap and deliver high performance, efficiency, and reliability. Making any infrastructure "software defined" requires significant community efforts. The SDDCS workshop provides the forum for multidisciplinary 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 progress related to performance bottleneck discoveries and to bridging 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. Conference web-site: https://sddcs.github.io/2018/sddcs2018.html * Topics Topics of interest in SDDCS include but are not limited to: - Software-defined memory systems 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 - In-memory processing - Near-data-computing - Cross-layer coordination in data centers - Storage and network virtualization - Security for software-defined 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 the workshop proceedings of ACM ASPLOS 2018 and available in the ACM Digital Library. Selected (extended) papers will b recommended for fast-track processing in ACM Transactions on Storage (TOS). * Important Dates: Paper submission due: January 25, 2018, 11:59pm AoE Notification to authors: February 20, 2018 Final paper files due: March 10, 2018 * Submission Site: https://easychair.org/conferences/?conf=sddcs18 * 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: 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 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, DellEMC 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 |
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