[hpc-announce] CFP BigDataCloud 2016 workshop with IEEE Cluster, Taipei, Taiwan

Alexandru Costan alexandru.costan at irisa.fr
Tue Jun 7 09:04:06 CDT 2016


				BigDataCloud 2016
	5th International Workshop on Big Data Management in Clouds
			in conjunction with IEEE Cluster 2016

			September 12, 2016 - Taipei, Taiwan

			Submission Deadline: July 25, 2016



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. Data collected from remote sensors and satellites, dynamic data-driven applications, and digital libraries and are also producing extremely large datasets 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 MapReduce 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 will support the presentation of advanced solutions for the efficient management of Big Data in the context of Cloud computing. 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 tools and cultures of HPC and Big Data have diverged, to the detriment of both. Unification is essential to address a spectrum of major research domains. To this end, the workshop will promote new solutions advocating the convergence of HPC and Big Data. 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..

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
Geographically distributed data management
Convergence of Exascale computing and Big Data
Data-intensive computing on hybrid infrastructures (Grids/Clouds/P2P)
Data-aware resource management
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
Advanced programming models for IaaS, PaaS and SaaS
Elasticity for Cloud data management systems
Self-* and adaptive mechanisms.
Many-Task Computing in the Cloud
Performance evaluation of Cloud environments and technologies
Event streaming and real-time processing on Clouds
Energy-efficiency for BigData in Clouds

Alexandru Costan, Inria Rennes-Bretagne Atlantique, France
Frédéric Desprez, Inria / ENS Lyon, France

Gabriel Antoniu, Inria, France 
Luc Bougé, ENS Rennes, France
Shadi Ibrahim, Inria, France
Olivier Nano, Microsoft Research ATLE, Germany 
Bogdan Nicolae, IBM Research, Ireland 
Maria S. Pérez, Universidad Politecnica De Madrid, Spain
Florin Pop, University Politehnica of Bucharest, Romania 
Anna Queralt, Barcelona Supercomputing Center, Spain 
Leonardo Querzoni, University of Rome La Sapienza, Italy 
Balaji Subramaniam, Virginia Tech, USA 
Domenico Talia, University of Calabria, Italy 
Osamu Tatebe, University of Tsukuba, Japan
Radu Tudoran, Huawei European Research Center, Germany
Cristian Zamfir, EPFL, Switzerland

Authors are invited to submit research and application papers not exceeding 10 pages following the IEEE Xplore 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.

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