Sixth Workshop on Architectures and Systems for Big Data(ASBD 2016)
in conjunction with ISCA 2016
Seoul, S. Korea
June 18, 2016
Submissions deadline: April 10, 2016
Author notification: April 30, 2016
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 Sixth
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 & 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
– 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!
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 site: https://easychair.org/conferences/?conf=asbd2016
Lixin Zhang, ICT/CAS China
Yungang Bao, ICT/CAS China
John Kim, KAIST South Korea
Xiufeng Sui, ICT/CAS China
Jian Li, Huawei
Jichuan Chang, Google
Evan Speight, IBM Research