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SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Proceedings of the 2008 annual research conference of the South African Institute of Computer Scientists and Information Technologists on IT research in developing countries: riding the wave of technology
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
The Eucalyptus Open-Source Cloud-Computing System
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
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IEEE Internet Computing
Communications of the ACM
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ISPAN '09 Proceedings of the 2009 10th International Symposium on Pervasive Systems, Algorithms, and Networks
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IEEE Transactions on Parallel and Distributed Systems
Evaluating open-source cloud computing solutions for geosciences
Computers & Geosciences
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Cloud computing is becoming a viable computing solution for scientific research and several open-source cloud solutions are available to support scientific studies. However, little has been done to systematically investigate the performance of these solutions in supporting scientific pursuits. Taking dust storm forecasting as an example, we test three popular open-source cloud solutions, namely Eucalyptus, OpenNebula, and CloudStack, on the same hardware and compare against a bare cluster. We find that: (1) compared to the bare cluster, a cloud has about 10% virtualization and management overhead when one virtual machine is used. Overhead increases when more virtual machines are used. Leveraging more virtual resources would not necessarily yield better performance. (2) For computing- and communication-intensive dust storm forecasting, the performance overhead is mainly due to virtualized network rather than virtualized computing resources when more than one virtual machine is involved. (3) Compared to Eucalyptus and CloudStack, OpenNebula provides better support for dust storm forecasting with relatively better performance. The results can provide some insights for scientific community in adopting these open-source cloud solutions.