Abstract
Amazon.com has introduced the Simple Storage Service (S3), a commodity-priced storage utility. S3 aims to provide storage as a low-cost, highly available service, with a simple 'pay-as-you-go' charging model. This article makes three contributions. First, we evaluate S3's ability to provide storage support to large-scale science projects from a cost, availability, and performance perspective. Second, we identify a set of additional functionalities that storage services targeting data-intensive science applications should support. Third, we propose unbundling the success metrics for storage utility performance as a solution, to reduce storage costs. Copyright 2008 ACM.
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CITATION STYLE
Palankar, M., Lamnitchi, A., Ripeanu, M., & Garfinkel, S. (2008). Amazon S3 for science grids: A viable solution? In International Symposium on High Performance Distributed Computing, HPDC 2008 - Proceedings of the 2008 International Workshop on Data-aware Distributed Computing 2008, DADC’08 (pp. 55–64). https://doi.org/10.1145/1383519.1383526
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