Large computer clusters offer many advantages with respect to efficiency. Therefore, users frequently execute their parallel applications on such a cluster remotely. Supported by virtualization this trend has led to grid and cloud systems. Yet there are still many unsolved challenges that must be addressed by research. Due to the separation of users and systems, a new form of market economy has involved requiring business models and contracts with service guarantees. On the one hand, new tools must provide transparency regarding observance of these guarantees and correct accounting. On the other hand, users are expecting an environment that supports them in porting existing applications on these systems and in developing new applications that efficiently exploit the vast amount of parallelism offered by new clusters.
New challenges arise particularly in the areas of energy efficiency and resiliency. Due to the increasing importance of energy expenses, users and systems administrators are interested in methods to reduce power consumption without significantly impeding the quality of service. Here it is important to obtain methods that allow bridging the separation of user and system. A similar problem occurs in failure tolerance. Due to the large number of resources in modern clusters, a system failure is not are rare event anymore. On the one hand, system administrators want new methods to handle those failures while affecting users as little as possible. On the other hand, users want to develop algorithms and applications that can tolerate occasional failures.
In this topic, we want to provide a forum to discuss new research results in the area of cluster, grid, and cloud computing and invite authors to submit papers addressing issues like:
Uwe Schwiegelshohn, Universität Dortmund, Germany
Hervé Paulino, Nova University of Lisbon, Portugal
Olivier Beaumont, INRIA, France
Satoshi Matsuoka, Tokyo Institute of Technology, Japan
Rizos Sakellariou, University of Manchester, United Kingdom
Domenico Talia, University of Calabria, Italy
María S. Pérez-Hernández, Universidad Politécnica de Madrid, Spain
Vijay Saraswat, IBM, USA