Kaviani, Nima and Wohlstadter, Eric and Lea, Rodger (2011) Profiling-as-a-Service: Adaptive Scalable Resource Profiling for the Cloud in the Cloud. In: Service-Oriented Computing 9th International Conference, ICSOC 2011, Paphos, Cyprus, December 5-8, 2011 Proceedings. Lecture Notes in Computer Science . Springer, Berlin, pp. 157-171. ISBN 978-3-642-25534-2Full text not available from this repository.
Runtime profiling of Web-based applications and services is an effective method to aid in the provisioning of required resources, for monitoring service-level objectives, and for detecting implementation defects. Unfortunately, it is difficult to obtain accurate profile data on live client workloads due to the high overhead of instrumentation. This paper describes a cloud-based profiling service for managing the tradeoffs between: (i) profiling accuracy, (ii) performance overhead, and (iii) costs incurred for cloud computing platform usage. We validate our cloud-based profiling service by applying it to an open-source e-commerce Web application.
|Item Type:||Contribution in Book/Report/Proceedings|
|Uncontrolled Keywords:||Cloud Computing ; Resource Monitoring ; Application Profiling|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Departments:||Faculty of Science and Technology > School of Computing & Communications|
|Deposited On:||16 Aug 2012 15:00|
|Last Modified:||17 Jan 2017 02:56|
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