Abstract | ||
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Cloud-based software systems are expected to deliver reliable performance under dynamic workload while efficiently managing resources. Conventional monitoring frameworks provide limited support for flexible and intuitive performance queries. In this paper, we present a prototype monitoring and control platform for clouds that is a better fit to the characteristics of cloud computing (e.g. extensible, user-defined, scalable). Service Level Objectives (SLOs) are expressed graphically as Performance Trees, while violated SLOs trigger mitigating control actions. |
Year | DOI | Venue |
---|---|---|
2015 | 10.1145/2668930.2688063 | ICPE |
Keywords | Field | DocType |
benchmarking,measurement techniques,cloud,evaluation,modelling,performance,performance attributes | Service level objective,Monitoring and control,Workload,Software system,Real-time computing,Control engineering,Engineering,Extensibility,Benchmarking,Cloud computing,Scalability,Distributed computing | Conference |
Citations | PageRank | References |
1 | 0.35 | 6 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xi Chen | 1 | 13 | 0.90 |
William J. Knottenbelt | 2 | 571 | 50.07 |