[hpc-announce] CFP: PABS in conjunction with ICPE 2017

[D Chahal]

Call for papers: PABS 2017
(http://ripsac.web2labs.net/pabs)
3rd International Workshop on Performance Analysis of
Big data Systems (PABS)
April 22, 2017
L?AQUILA, Italy
to be held in conjunction with
International conference on Performance Engineering (ICPE)-2017

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, case 
studies and experiences while dealing with performance issues in 
traditional and big data systems. The primary objective is to discuss 
performance bottlenecks and improvements during big data analysis using 
different paradigms, architectures and big data technologies. 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. The accepted papers shall be published in ACM proceedings and 
digital library.

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.
·       Big data analytics using machine learning
·       In-memory analysis of big data
·       Performance Assured migration of traditional systems to Big data 
platforms
·       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.
·       Data intensive computing
·       Tools for big data analytics and management

Important Dates

·       January 17, 2017 - Submissions due
·       February 10, 2017 - Notification of acceptance
·       February 17, 2017 - Camera-ready copies due
·       April 22, 2017 - Workshop date

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=pabs17. More 
information on ACM format is
available on ICPE 2017 web page. Accepted technical papers will be 
published in the ICPE 2016
Proceedings. In case of any difficulty please contact 
rekha.singhal at tcs.com or d.chahal at tcs.com.
The submissions must be in pdf format.

Program Co-Chairs:
·       Rekha Singhal, TCS Research, India (rekha.singhal at tcs.com)
·       Dheeraj Chahal, TCS Research, India (d.chahal at tcs.com)

Technical Program committee:
·       Amy Apon, Clemson University, USA
·       Dhableshwar Panda, Ohio State University , USA
·       Gautam Shroff, TCS Innovation Lab, India
·       Kishor Trivedi, Duke University, USA
·       Rajesh Mansharamani, Consultant, India
·       Jeff Ullman, Stanford University and Gradiance, USA
·       Saumil Merchant, Shell, India
·       Sebastien Goasguen, Citrix, Switzerland
·       Steven J Stuart, Clemson University, USA
·       Vikram Goyal, IIIT, India
·       Tilmann Rabl, DIMA, Toronto, Canada
Thanks and Regards,
Dheeraj Chahal, PhD
Sr. Scientist,
Tata Consultancy Services Research,
Akruti Business Port, Road No. 13,
MIDC, Andheri East
Mumbai - 400093,Maharashtra
India

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