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 978-3-642-25534-2
Full text not available from this repository.Abstract
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 |
| ID Code: | 57477 |
| Deposited By: | ep_importer_pure |
| Deposited On: | 16 Aug 2012 15:00 |
| Refereed?: | No |
| Published?: | Published |
| Last Modified: | 16 Aug 2012 15:00 |
| Identification Number: | |
| URI: | http://eprints.lancs.ac.uk/id/eprint/57477 |
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