[hpc-announce] CFP: ASPLOS 2018 Workshop-SDDCS 2018

[Yu Hua]

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
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