BigDataCloud 2013 - 2nd Workshop on Big Data Management in Clouds

The second edition of the Workshop on Big Data Management in Clouds will be held in Aachen, Germany. BigDataCloud 2013 follows the joint BDMC / CoreGRID-ERCIM Workshop on Grids, Clouds and P2P Computing 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.
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.