College of Computer & Communication, Hunan Institute of Engineering, Xiangtan, 411104, China

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Abstract—Cloud computing is an emerging infrastructure paradigm that promises to eliminate the need for companies to maintain expensive computing hardware. However, performance evaluation for Cloud computing platforms still remains an open issue. In this paper, we present an integrated performance evaluation middleware, which is aiming to provide users an easy-to-use toolkit to evaluate their Cloud system’s runtime performance. In addition, the proposed system introduces a novel resource working model by using queue theory, which provides us a quantitative technique to evaluate the dynamic performance of virtual resources at runtime. Meanwhile, it supports a real-time performance monitoring and profiling service for highperformance Cloud applications. Massive experiments are conducted to investigate the effectiveness of the proposed system, and the results indicate that its configurable feature is very useful when users are conducting performance comparing under different cases.

Index Terms—Cloud computing, grid computing, performance profiling, virtual machine, workload generator.

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Cite: Dongbo Liu, Peng Xiao, "PM&E-CP: Performance Monitor and Evaluator for Cloud Platforms," Journal of Software vol. 8, no. 4, pp. 761-767, 2013.