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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Md Shoeb, A.A. Hasan, R. Haque, M. Meng Hu |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Comput. & Inf. Sci., Univ. of Alabama at Birmingham, Birmingham, AL, USA (Md Shoeb, A.A.; Hasan, R.; Haque, M.; Meng Hu) |
| Abstract | Cloud computing infrastructure helps users to minimize cost by outsourcing data and computation on-demand. Due to the varying user needs in terms of computation power, storage capacity, etc., cloud providers offer various machines to choose from, to maximize the intended need. In this paper, we disprove several common conceptions regarding the performance and cost of cloud by experimenting on instances of two different families (compute and storage optimized) of the most popular cloud platform, Amazon Elastic Compute Cloud (EC2). Our analysis shows the interesting finding that, for the machines of the same configuration, storage optimized instances have lower disk read-write speed than compute optimized, which does not completely reflect the claim made by Amazon in all cases. Additionally, storage optimized instances have notable performance difference among them. We also identify that the I/O performance of same instance type varies over different time periods. |
| Starting Page | 970 |
| Ending Page | 971 |
| File Size | 190247 |
| Page Count | 2 |
| File Format | |
| ISSN | 21596190 |
| e-ISBN | 9781479950638 |
| DOI | 10.1109/CLOUD.2014.146 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-06-27 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cloud computing Amazon EC2 Performance Cloud Computing Computational modeling Benchmark testing Size measurement Virtual machining Standards Local area networks |
| Content Type | Text |
| Resource Type | Article |
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