SETI@home: an experiment in public-resource computing
Communications of the ACM
BOINC: A System for Public-Resource Computing and Storage
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Virtual Clusters for Grid Communities
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
Grid'5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed
International Journal of High Performance Computing Applications
A Comparison of Virtualization Technologies for HPC
AINA '08 Proceedings of the 22nd International Conference on Advanced Information Networking and Applications
Model-based resource selection for efficient virtual cluster deployment
VTDC '07 Proceedings of the 2nd international workshop on Virtualization technology in distributed computing
The evolution of virtualization
Communications of the ACM - Being Human in the Digital Age
HIBI '09 Proceedings of the 2009 International Workshop on High Performance Computational Systems Biology
E-Clouds: A SaaS Marketplace for Scientific Computing
UCC '12 Proceedings of the 2012 IEEE/ACM Fifth International Conference on Utility and Cloud Computing
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This paper deals with the design and implementation of a virtual opportunistic grid infrastructure that allows taking advantage of the idle processing capabilities currently available in the computer labs of a university campus, ensuring local users to have priority in accessing the computational resources, while simultaneously, a virtual cluster takes the resources unused by them. A virtualization strategy is proposed to allow the deployment of opportunistic virtual clusters which integration provides a scalable grid solution capable of supplying the high performance computing (HPC) needs required for the development of e-Science projects. The proposed solution was implemented and tested through the execution of opportunistic virtual clusters with customized application environments for projects of different scientific disciplines, evidencing high efficiency in result generation.