1st Workshop on Performance Analysis of Big data Systems (PABS 2015)

PABS 2015 web site: http://ripsac.web2labs.net/pabs

Abstract

Big data systems deal with velocity, variety, volume and veracity of the application data. We witness an explosive growth in the complexity, diversity, number of deployments and capabilities of big data processing systems such as Map-Reduce, Cassandra, Big Table, HPCC, Hyracks, Dryad, Pregel and Mongo DB. The big data system may use new operating system designs, advanced data processing algorithms, parallelization of application, high performance architectures and clusters to improve the performance. Looking at the volume of data to mine, and complex architectures, one may need to analyze, identify or predict bottlenecks to optimize the system and improve its performance.

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.

Workshop Web Site and Call for Papers

http://ripsac.web2labs.net/pabs

Important Dates

• Paper submission: November 22, 2014 November 26, 2014 (extended)
• Paper notification:  December 5, 2014
• Camera-ready copy: December 10, 2014 (firm)
• Workshop date: February 1, 2015 (Sunday)

Submission

The workshop invites original, unpublished recent results related to the workshop theme, to be reviewed by the workshop program committee. Up to 6 pages in standard ACM format can be submitted through the easychair conference system, following this link: https://easychair.org/conferences/?conf=pabs15. Accepted contributions will be included in the ACM Digital Library.

Detailed submission instructionsare available on the PABS 2015 web site.

Organizers

Rekha Singhal - Performance Engineering Research Centre, TCS Innovations Lab, India

Dheeraj Chahal - Performance Engineering Research Centre, TCS Innovations Lab, India