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About Ccgrid2011 Accepted
This document analyzes the performance variability of cloud computing services over long periods of time. The authors collected performance trace data from ten services across Amazon Web Services and Google App Engine over the course of a year. They found that about half of the services exhibited yearly and daily patterns in performance. Through simulation, the authors also found that the level of observed performance variability could significantly impact how three large-scale applications function when run on the cloud. The document aims to better understand performance variability in cloud services in order to help with provider selection, system design, and failure prediction.
Detailed Information
| Author: | ['Diego Dutra'] |
|---|---|
| Publication Year: | 2011 |
| Pages: | 10 |
| Language: | English |
| Format: | |
| Price: | FREE |
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