[hpc-announce] Call for Papers - First International Workshop on Standards and Pre-Standards Topics in Clouds, Big Data and Data Analytics (SCBDA)

Ivan Rodero irodero at cac.rutgers.edu
Wed Aug 20 05:12:34 CDT 2014

Call for Papers:

First International Workshop on 
Standards and Pre-Standards Topics in Clouds, Big Data and Data Analytics (SCBDA)

To be held in conjunction with
7th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2014)
London, UK, 8th – 11th December 2014

Website: http://www.fz-juelich.de/ias/jsc/EN/Expertise/Workshops/Conferences/scbda-2014.html


The goal of this workshop is to bring together researchers and practitioners working in the areas of utility and cloud computing with a particular emphasis on solving ‘Big Data Analysis & Analytics Problems’ with open standard approaches or pre-standard methods. Participants of the workshop exchange and share their experiences with using open standards with Big Data in cloud environments, but also new ideas and latest research results on aspects of potentially ‘missing standards’ or ‘pre-standards’ are of high interest to the workshop.


The workshop scheme is divided into two parts: The first day will focus on academic results based on paper presentations of latest research results after a peer-review. The second day will augment the academic and theoretical approaches with practical experience in the light of a cloud interoperability plugfest (Cloud Plugfest).

The CloudPlugfest element in the workshop continues the successful community series of events designed to promote interoperability efforts on cloud-based applications, software, frameworks, and standards among vendors, products, projects and implementations. The series supports ongoing and continuing interoperability efforts among and between the sponsoring organizations, and with the cloud community at large. These efforts include organized software demonstrations, in-person developer gatherings, and continuous access to professional-grade cloud testing frameworks and tools.

Topics of Interest:

Topics of interest for the workshop include but are not limited to:

	• Standards and emerging standards, de-facto standards, pre-standards in cloud environments
	• Standardized resource management & processing in clouds and virtual environments
	• Interoperability issues using data and compute resources in scientific cases and problem solving
	• Experiences in parallel issues for data analysis in clouds and distributed computing
	• Advances in using parallel big data analytics machine learning & statistical data mining methods

Proceedings and Paper Submission

Accepted workshop papers will be published as part of the IEEE UCC conference proceedings. Workshop papers have a maximum of 6 papes in length in IEEE format. At least one author of each paper must register for the workshop and attend the event. Submitted papers must represent original unpublished research that is not considered to be published elsewhere.

Please use the following Easychair link for your submissions: https://easychair.org/conferences/?conf=scbda14

Important Dates:
Workshop paper submission:	15th September 2014
Notification of acceptance:	10th October 2014
Proceedings-ready copy:	29th October 2014

Program Chairs:

Prof. Dr. Alan Sill
High Performance Computing Center
Texas Tech University, Texas, USA
Contact: Alan.Sill at ttu.edu

Prof. Dr. Morris Riedel
Juelich Supercomputing Centre
Forschungszentrum Juelich, Germany
Contact: m.riedel at fz-juelich.de

Program Committee

Will be published after confirmation of program committee members
Ivan Rodero, Ph.D.
Rutgers Discovery Informatics Institute (RDI2)                                                         
NSF Center for Cloud and Autonomic Computing (CAC)
Department of Electrical and Computer Engineering            
Rutgers, The State University of New Jersey   
Office: CoRE Bldg, Rm 624                                                       
94 Brett Road, Piscataway, NJ 08854-8058
Phone: (732) 993-8837
Fax:   (732) 445-0593
Email: irodero at rutgers dot edu
WWW: http://nsfcac.rutgers.edu/people/irodero

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