CFP : 2nd International workshop on Performance Analysis of Big Data Systems ( PABS-16)

[dch...@g.clemson.edu]

Call for papers: PABS 2016

(http://icpe2016.ipd.kit.edu/conference_workshops/pabs2016)

 2nd International Workshop on Performance Analysis of Big data Systems (PABS)

to be held in conjunction with

International conference on Performance Engineering (ICPE)-2016

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, Hbase, MPP, Big Table, NOSQL, graph based models 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.  Deployment of Big Data technology/application on High performance computing architectures.  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: 

Intent to submit: Nov. 15 

Paper submission deadline: November 25 

Notification of acceptance: December 5 

Camera ready papers due: December 8 

Workshop: March 12, 2016

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=pabs16. 

More information on ACM format is available on ICPE 2016 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

 Amy Apon, Clemson University, USA

 Arno Jacobsen, University of Toronto, Canada

 Bojan Cukic, UNC, USA.

 Dhableshwar Panda, Ohio State University , USA

 Gautam Shroff, TCS Innovation Lab, India

 Henrique Madeira, University of Coimbra, Portugal

 Kishor Trivedi, Duke University, USA

 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

 Veena Mendiratta, Alcatel-Lucent, USA

 Vikram Narayana, George Washington University, USA



[dch...@g.clemson.edu]

Correct link is:  https://icpe2016.spec.org/conference-workshops.html