Amazon S3 for science grids: a viable solution?
DADC '08 Proceedings of the 2008 international workshop on Data-aware distributed computing
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Interactive use of cloud services is of keen interest to science end users, including for storing and accessing shared data sets. This paper evaluates the viability of interactively using two important cloud services offered by Amazon: SQS (Simple Queue Service) and S3 (Simple Storage Service). Specifically, we first measure the send-to-receive message latencies of SQS and then determine and devise rate controls to obtain suitable latencies and latency variations. Second, for S3, when transferring data into the cloud, we determine that increased parallelism in Transfer Manager can significantly improve upload performance, achieving up to 4 times improvements with careful elimination of upload bottlenecks.