The fifth edition of the Workshop on Big Data Management in Clouds will be held in Taipei, Taiwan. BigDataCloud 2016 follows the successful previous editions held in conjunction with EuroPar. Its goal is to aggregate the data management and Clouds / Grids / P2P communities in order to complement the Big Data handling issues with a comprehensive system / infrastructure perspective.
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:
Alexandru Costan, IRISA / INSA Rennes, 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 8 pages following the IEEE Xplore format. You can download LaTeX and Word templates here
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 to the BigDataCloud 2016 online submission system. 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 IEEE Cluster Workshop Proceedings.
BigDataCloud 2015
BigDataCloud 2014
BigDataCloud 2013
BigDataCloud 2012
CGWS 2012
CGWS 2011
CGWS 2010
CGWS 2009