CFP-PABS Workshop on Performance Analysis on Big-Data Systems @ ICPE 2015 Hyderabad
gautam.shroff
Call for papers: PABS 2015
(http://icpe2015.ipd.kit.edu/conference_workshops/pabs2015)
1st Workshop on Performance Analysis of Big data Systems (PABS)
to be held in conjunction with
International conference on Performance Engineering (ICPE)-2015
Scope of the workshop:
The workshop on performance analysis of big data systems (PABS) aims at providing a platform for scientific researchers, academicians and practitioners to discuss techniques, models, benchmarks, tools and experiences while dealing with performance issues in big data systems. The primary objective is to discuss performance bottlenecks and improvements during big data analysis using different paradigms, architectures and technologies such as Map-Reduce, MPP, Big Table, NOSQL, graph based models ( e.g. Pregel, giraph ) and any other new upcoming paradigms. We propose to use this platform as an opportunity to discuss systems, architectures, tools, and optimization algorithms that are parallel in nature and hence make use of advancements to improve the system performance. This workshop shall focus on the performance challenges imposed by big data systems and on the different state-of-the-art solutions proposed to overcome these challenges.
Topics:
All novel performance analysis or prediction techniques, benchmarks, architectures, models and tools for data-intensive computing system for optimizing application performance on cutting-edge high performance solutions are of interest to the workshop. Examples of topics include but not limited to:
Performance analysis and optimization of Big data systems and technologies.
Case studies/ Benchmarks to optimize/evaluate performance of Big data applications/systems and Big data workload characterizations.
Tools or models to identify performance bottlenecks and /or predict performance metrics in Big data
Performance analysis while querying, visualization and processing of large network datasets on clusters of multicore, many core processors, and accelerators.
Performance issues in heterogeneous computing for Big data architectures.
Analysis of Big data applications in science, engineering, finance, business, healthcare and telecommunication etc.
Data structure and algorithms for performance optimizations in big data systems.
Important dates:
Paper submission deadline: November 22, 2014
Notification of acceptance: December 10, 2014
Camera ready papers due: December 15, 2014
Workshop: Feb 01, 2015
Submission details:
Submissions describing original, unpublished recent results related to the workshop theme, upto 6 pages in standard ACM format can be submitted through the easychair conference system, following this link: https://easychair.org/conferences/?conf=pabs15 . More information on ACM format is available on ICPE 2015 web page.
In case of any difficulty please contact rekha....@tcs.com or d.ch...@tcs.com. The submissions must be in pdf format.
Program Co-Chairs:
Rekha Singhal, Performance Engineering Research Centre, TCS Innovations Lab, India
rekha....@tcs.com
Dheeraj Chahal, Performance Engineering Research Centre, TCS Innovations Lab, India
d.ch...@tcs.com
Technical Program committee:
Amitabha Bagchi , IITD, India
Arno Jacobsen, University of Toronto, Canada
Dhableshwar Panda, Ohio State University, USA
Gautam Shroff, TCS Innovation Lab, India
Kishor Trivedi, Duke University
Jeff Ullman, Stanford University and Gradiance, USA
Narendra Bhandari, Intel, India
Rajesh Mansharamani, CMG India
Saumil Merchant, Shell, India
Sebastien Goasguen, Citrix, Switzerland
Steven J Stuart, Clemson University, USA
Vikram Narayana, George Washington University, USA
Zia Saquib, CDAC, India