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An Extensible Performance Evaluation Framework for Cloud Computing Systems

By Peng Xiao and Hui Lin

Abstract

As more and more Cloud systems are designed and deployed in business and science engineering areas, how to evaluate and monitor the system’s runtime performance is becoming an important issue. However, few efforts are taken to address such an issue because the resources in Cloud systems often owned by different institutes. In this paper, we present an integrated performance evaluation framework, which is aiming to provide cloud users an easy-to-use toolkit to evaluate their system’s runtime performance, or compare the performance under different resource management policies. The design and implementation of our framework is highly extensible and re-useable in most existing cloud systems. Currently, the prototype of our implementation is examined by a series of experiments, and the results indicate that its configurable feature is very useful when users are conducting performance comparing under different contexts

Topics: Cloud Computing, Performance Evaluation, Virtual Machine, Task Scheduling
Year: 2014
OAI identifier: oai:CiteSeerX.psu:10.1.1.412.8707
Provided by: CiteSeerX
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