Profiling-as-a-Service: Adaptive Scalable Resource Profiling for the Cloud in the Cloud

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:
/dk/atira/pure/researchoutput/libraryofcongress/qa75
Subjects:
?? CLOUD COMPUTING RESOURCE MONITORING APPLICATION PROFILINGCOMPUTING, COMMUNICATIONS AND ICTQA75 ELECTRONIC COMPUTERS. COMPUTER SCIENCE ??
ID Code:
57477
Deposited By:
Deposited On:
16 Aug 2012 14:00
Refereed?:
Yes
Published?:
Published
Last Modified:
18 Sep 2023 02:29