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ASBD 2011 logo

First Workshop on Architectures and Systems for Big Data

( ASBD 2011 )

Held in conjunction with the The Twentieth International Conference on Parallel Architectures and Compilation Techniques (PACT-2011)

October 10, 2011
Galveston Island, Texas

CFP Flyer Available Here

Prelimnary Program Available Here
PACT 2011 logo
PACT-2011
 
Data continue a massive expansion in scale, diversity, and complexity. Data underpin activities in all sectors of society. As informatics is the science of information, analytics is the science of data analysis. Achieving the full transformative potential from the use of data in this increasingly digital world requires not only new data analysis algorithms but also a new generation of systems and distributed computing environments to handle the dramatic growth in the volume of data, the lack of structure for much of it and the increasing computational needs of massive-scale analytics. Not only is there a need for new environments and platforms, but even there is even a lack of metrics and benchmarks to evaluate them.

We are pleased to request papers for presentation at the upcoming 1st Workshop on Architectures and Systems for Big Data (ASBD 2011) which is being held in conjunction with PACT 2011. The workshop will provide a forum for the exchange of research ideas on relating to all critical aspects of emerging analytics systems including data management software, operating systems, architecture support and benchmarks and metrics. We hope to attract a broad mix of researchers from academia, industry and funding agencies. To encourage discussion between participants, the ASBD 2011 workshop will include significant time for discussion between presenters and the audience. We also plan to have a keynote speaker and/or panel session.

We plan to publish a proceedings along with the other workshops at PACT. We also plan to select a subset of papers to be published at the SIGARCH Computer Architecture News. Those chosen papers will still be eligible to publish at a future conference or journal.

Topics of interest include but are not limited to:

  • Scalable system and interconnection network designs for capturing a very large number or very high bandwidth data streams
  • Data management for vast amounts of poorly structured or unstructured data
  • OS and distributed systems support for very large-scale analytics processing
  • System management for large-scale analytics
  • Debugging and performance analysis tools for analytics and data-intensive computing
  • Programming systems and language support for deep analytics
  • Mapreduce and other processing paradigms for analytics
  • Benchmarks and metrics for analytics and data-intensive computing
  • Acceleration techniques for analytics and data-intensive computing
  • Implications of large-scale analytics to mobile and embedded systems
  • Energy-efficiency and energy-efficient designs for analytics
  • Availability, fault tolerance and data recovery in large-scale data-oriented environments


We encourage both industry and academic researchers to submit their research. 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.

Submission website: https://www.easychair.org/conferences/?conf=asbd2011 (opens April 15, 2011)


 
Workshop Co-Organizers:

Evan Speight, IBM Research in Austin
Jian Li, IBM Research in Austin
Jichuan Chang, HP Labs

Publicity Chair:

Anthony Hylick, IBM Research - Austin

Important Dates

Submission site opens: April 15, 2011
Submissions deadline: August 10, 2011
Author notification: September 10, 2011

Program Committee:

Viraj N. Bhat, Yahoo!
Shimin Chen, Intel Labs & CMU
Alok N. Choudhary, Northwestern University
Peter Hofstee, IBM Research in Austin
Robert Hundt, Google
Christos Kozyrakis, Stanford University
Trevor Mudge, University of Michigan
Ling Qian, China Mobile Research Institute
Parthasarathy (Partha) Ranganathan, HP Labs
Freeman Rawson, IBM Research in Austin
Ben Sigelman, Google
Dimitris Tsirogiannis, Microsoft Research
Chitra Venkatramani, IBM Research in Yorktown
Bo Yang, IBM Research in Beijing
Lin Zhong, Rice University