A performance evaluation of Azure and Nimbus clouds for scientific applications
Proceedings of the 2nd International Workshop on Cloud Computing Platforms
TomusBlobs: Towards Communication-Efficient Storage for MapReduce Applications in Azure
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
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Due to its ability to provide requested resources on demand, the use of cloud computing for data-intensive computing is expected to skyrocket in the coming years. The present IaaS cloud infrastructure is designed such that the compute cloud and the storage cloud are separate components. However, the design has one major problem, namely a trade-off has to be made between the network cost and storage performance. To cope with these problems, we are proposing high performance file system service in compute cloud that transparently utilizes file access locality on dynamic configuration of cloud computing infrastructure. We evaluated the system using micro benchmarks, MapReduce applications, and MPI-IO applications. Our system shows the scalable file I/O performance.