[hpc-announce] CFP: BigDataCloud 2013 Workshop @EuroPar

[Alexandru Costan]

***********************************************************************************
                                               CALL FOR PAPERS 

                                               BigDataCloud 2013
                     2nd International Workshop on Big Data Management in Clouds
		                 	    in conjunction with EuroPar 2013
		                 	http://www.irisa.fr/kerdata/bigdatacloud/

                                    August 26, 2013 - Aachen, Germany

                                    Submission Deadline: May 31, 2013

***********************************************************************************

*WORKSHOP DESCRIPTION:
As data volumes increase at exponential speed in more and more application fields of science, the challenges posed by handling Big Data gain an increasing importance. Large scientific experiments, such as climate modeling, genome mapping, and high-energy physics simulations generate data volumes reaching petabytes per year, futher used for real-time or offline processing. Initially designed for powerful and expensive supercomputers, such applications have seen an increasing adoption on clouds, exploiting their elasticity and economical model. 

However, running such applications in an efficient fashion on clouds is challenging. One such open challenge is how to handle this “data deluge”. Sharing, disseminating and analyzing large data sets has become a critical issue despite the deployment of petascale computing systems, and optical networking speeds reaching up to 100 Gbps. While Map/Reduce covers a large fraction of the development space, there are still many applications that are better served by other models and systems. In such a context, we need to embrace new programming models, scheduling schemes, hybrid infrastructures and scale out of single datacenters to geographically distributed deployments in order to cope with these new challenges effectively. 

The BigDataCloud workshop provides a platform for the dissemination of recent research efforts that explicitly aim at addressing these challenges. It supports the presentation of advanced solutions for the efficient management of Big Data in the context of Cloud computing, new development and deployment efforts in running data-intensive computing workloads. In particular, we are interested in how the use of Cloud-based technologies can meet the data intensive scientific challenges of HPC applications that are not well served by the current supercomputers or grids, and are being ported to Cloud platforms. The goal of the workshop is to support the assessment of the current state, introduce future directions, and present architectures and services for future Clouds supporting data intensive computing.

BigDataCloud 2013 follows the joint BDMC / CGWS workshop held in conjunction with EuroPar 2012. Its goal is to aggregate the data management and clouds/grids/p2p communities built around the previous editions of these workshops in order to complement the data handling issues with a comprehensive system / infrastructure perspective.


*TOPICS OF INTEREST:
The BigDataCloud workshop calls for contributions that address fundamental research and system issues in Cloud data management including but not limited to the following:

	Cloud storage architectures for Big Data 
	Reliability of data intensive applications and services running on the Cloud 
	Query processing and indexing in Cloud computing systems 
	Data privacy and security in Clouds 
	Data-intensive computing on hybrid infrastructures (Grids/Clouds/P2P)
	Cloud storage resource management 
	Data-intensive Cloud-based applications 
	Content delivery networks using storage Clouds 
	Data intensive scalable computing on Clouds 
	Data management within and across multiple geographically distributed data centers 
	Data handling in MapReduce based computations 
	Data management in HPC Clouds 
	Programming models for data-intensive Cloud computing 
	Elasticity for Cloud data management systems 
	Self-* and adaptive mechanisms.
   	Many-Task Computing in the Cloud
   	Performance evaluation of Cloud environments and technologies
   	Data streaming and dynamic applications on Clouds


*WORKSHOP CHAIRS:
Alexandru Costan, Inria Rennes-Bretagne Atlantique, France
Frédéric Desprez, Inria / ENS Lyon, France


*PAPER SUBMISSION:
Authors are invited to submit research and application papers not exceeding 10 pages following the Springer LNCS format. We solicit the submission of academic workshop papers representing original, previously unpublished work. Submitted papers will be carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. Papers should be prepared as the .pdf files and submitted electronically via EasyChair. 


*INFORMATION FOR AUTHORS:
Submission of the paper implies that should the paper be accepted, at least one of the authors must register and present the paper at the workshop. Accepted papers that are presented at the workshop, will be published in a revised form in a special Euro-Par Workshop Volume in the Lecture Notes in Computer Science (LNCS) series after the Euro-Par conference.


*IMPORTANT DATES:
Submission Deadline: May 31, 2013
Notification of Acceptance: July 8, 2013
Submission of camera-ready papers: October 3, 2013
Workshop Date: August 26, 2013
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.mcs.anl.gov/mailman/private/hpc-announce/attachments/20130422/e6b4999d/attachment.html>