Sixth Workshop on Architectures and Systems for Big Data

( ASBD 2016 )

Held in conjunction with The 43st International Symposium on Computer Architecture (ISCA 2016)

June 19, 2016
  Seoul, Korea

Submissions deadline: April 22, 2016
      Author notification: May 06, 2016

          Submissions deadline: May 06, 2016
      Author notification: May 26, 2016


Main Program (The Joint Workshop of ASBD and EDCS)

Sunday, Jun 19


09:30   ~ 10:30

Invited   Talk (TBD)

10:30   ~ 10:45


Session   1 - New System Design Approaches (Session Chair: TBD)

10:45   ~ 11:15

Grail Quest: A New Proposal   for Hardware-assisted Garbage Collection


Martin Maas, Krste Asanovic,   John Kubiatowicz

University of California, Berkeley

11:15   ~ 11:45

A Machine   Learning-based Approach to Live Migration Modeling

EDCS-Changyeon Jo.pdf

Changyeon   Jo, Changmin Ahn, and Bernhard Egger

Seoul National University



Session   2 - Towards a Better Platform (Session Chair: Chao Li)

13:00   ~ 13:30

An   Evaluation of Contemporary Heterogeneous Computing Platforms for Data   Intensive Applications

EDCS-Vincent Lee.pdf

Vincent   T. Lee, Carlo C. Del Mundo, Eddie Yan, Armin Alaghi, Mark Oskin and Luis Ceze

University of Washington

13:30   ~ 14:00

OpenStack   and Docker Comparison for Scientific Workflow w.r.t. Execution and Energy

EDCS-Amol Jaikar.pdf

Amol   Jaikar, Sangwook Bae, Heejune Han, Byungyun Kong, Syed Asif Raza Shah and   Seo-Young Noh

Korea Institute of Science and Technology   Information and Korea   University of Science and Technology

14:00   ~ 14:15


Session   3 - Big Data and Storage    (Session Chair: TBD)

14:15   ~ 14:45

ApproxSSD: Fast Data   Sampling on SSD Arrays 


Jian Zhou, Xunchao Chen, Jun   Wang,

University of Central Florida

14:45   ~ 15:15

A Study for Block-level I/O   Trace Reconstruction on All-Flash Arrays 

Miryeong Kwon, Jie Zhang,   Gyuyoung Park and Myoungsoo Jung ,

Yonsei University

15:15   ~ 15:30

Concluding Remark

Call for papers

The term "Big Data" refers to the continuing massive expansion in the data volume and diversity as well as the speed and complexity of data processing. The use of big data underpins critical activities in all sectors of our society. Achieving the full transformative potential of big data in this increasingly digital world requires both new data analysis algorithms and a new class of systems to handle the dramatic data growth, the demand to integrate structured and unstructured data analytics, and the increasing computing needs of massive-scale analytics.

We are pleased to request papers for presentation at the upcoming Fifth Workshop on Architectures and Systems for Big Data (ASBD 2016) held in conjunction with ISCA-43. The workshop will provide a forum to exchange research ideas related to all critical aspects of emerging analytics systems for big data, including architectural support, benchmarks and metrics, data management software, operating systems, and emerging challenges and opportunities. We hope to attract a group of interdisciplinary researchers from academia, industry and government research labs. To encourage discussion between participants, the workshop will include significant time for interactions between the presenters and the audience. We also plan to have a keynote speaker and/or panel session.

Topics of interest include but are not limited to:

  • Processor, memory and system architectures for data analytics

  • Benchmarks, metrics and workload characterization for big data

  • Accelerators for analytics and data-intensive computing

  • Implications of data analytics to mobile and embedded systems

  • Energy efficiency and energy-efficient designs for analytics

  • Availability, fault tolerance and data recovery in big data environments

  • Scalable system and network designs for high concurrency/bandwidth streaming

  • Data management and analytics for vast amounts of unstructured data

  • Evaluation tools, methodologies and workload synthesis

  • OS, distributed systems and system management support for large-scale analytics

  • Debugging and performance analysis tools for analytics and big data

  • Programming systems and language support for deep analytics

  • MapReduce and other processing paradigms for analytics

    We encourage researchers from all institutions to submit their work for review. Preliminary results of interesting ideas and work-in-progress are welcome. Submissions that are likely to generate vigorous discussion will be favored!

Submission format: All papers should be submitted in PDF format,     using 10 point or larger font for text (8 points or larger for figures and     tables), total length not to exceed 6 pages.

Paper Submission :


Workshop Co-Organizers:
Lixin Zhang, ICT/CAS China
Yungang Bao, ICT/CAS China
Program Co-Chairs:
John Kim, KAIST South Korea
Xiufeng Sui, ICT/CAS China
Program Committee:

Zhibin Yu, SIAT/CAS China
Haibo Chen, Shanghai Jiao Tong University
Jing Wang, Capital Normal University
Xin Fu, University of Houston
Sally A. McKee, Chalmers University of Technology
Rajeev Balasubramonian, University of Utah
Boris Grot, University of Edinburgh
Myungsoo Jung, Yonsei University

Steering Committee:

Jian Li, Huawei
Jichuan Chang, Google
Evan Speight, IBM Research

Important Dates
        Submissions deadline: April 22, 11:59:59PM PST, 2016
    Author notification: May 06, 2016

        Submissions deadline: May 06, 11:59:59PM PST, 2016
    Author notification: May 26, 2016
Prior Workshops:
                       ASBD 2015        
           ASBD 2014        
                   ASBD 2013        
           ASBD 2012        
           ASBD 2011