DocumentCode
3477804
Title
A Performance Guarantee Approach for Cloud Applications Based on Monitoring
Author
Shao, Jin ; Wang, Qianxiang
Author_Institution
Sch. of Electron. Eng. & Comput. Sci., Peking Univ., Beijing, China
fYear
2011
fDate
18-22 July 2011
Firstpage
25
Lastpage
30
Abstract
Cloud computing, a paradigm shift that offer computing resources in a pay-as-you-go manner, is expected to minimize service operators´ cost without sacrificing the performance of services. However, it is much harder to guarantee the performance of cloud applications due to the complex architecture of cloud, the interaction between co-deployed applications and the unpredictability of workload. Some research work has reported that existed cloud is not performing as satisfactorily as expected. How to guarantee the stable performance of cloud applications turns into a major concern of both the cloud providers and the service providers. In this paper, we present an approach to guarantee the performance of cloud applications based on a performance model. Extracted from actual runtime monitoring data using data mining techniques, the model can be leveraged to direct how to adjust the resource provision strategy under a given performance requirement. A monitoring framework is implemented for collecting runtime monitoring data on a real cloud which provides PaaS service.
Keywords
cloud computing; data mining; PaaS service; cloud applications; cloud computing; cloud providers; co-deployed applications; data mining; runtime monitoring data collection; service providers; Measurement; Monitoring; Quality of service; Runtime; Servers; Time factors; Virtual machining; cloud applications; data mining; dynamic resource provision; performance model;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Software and Applications Conference Workshops (COMPSACW), 2011 IEEE 35th Annual
Conference_Location
Munich
Print_ISBN
978-1-4577-0980-7
Electronic_ISBN
978-0-7695-4459-5
Type
conf
DOI
10.1109/COMPSACW.2011.15
Filename
6032205
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