An Investigation into the Application of Different Performance Prediction Methods to Distributed Enterprise Applications

Author:

Bacigalupo David A.,Jarvis Stephen A.,He Ligang,Spooner Daniel P.,Dillenberger Donna N.,Nudd Graham R.

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Reference17 articles.

1. J. Aman, C. Eilert, D. Emmes, P. Yocom, and D. Dillenberger. Adaptive algorithms for managing a distributed data processing workload. IBM Systems Journal, 36(2):242–283, 1997.

2. Y. An, T. Kin, T. Lau, and P. Shum. A Scalability Study for WebSphere Application Server and DB2 Universal Database, IBM White paper, 2002. Available at: http://www.ibm.com/developerworks/

3. Apache JMeter User Manual. Available at: http://jakarta.apache.org/jmeter/index.html

4. K. Appleby, S. Fakhouri, L. Fong, G. Goldszmidt, M. Kalantar, S. Krishnakumar, D. P. Pazel, J. Pershing, and B. Rochwerger, Oceano-SLA Based Management of a Computing Utility. 7th IFIP/IEEE International Symposium on Integrated Network Management, New York, May 2001.

5. D. Bacigalupo, S. A. Jarvis, L. He, and G. R. Nudd, An Investigation into the Application of Different Performance Prediction Techniques to e-Commerce Applications, Workshop on Performance Modelling, Evaluation and Optimization of Parallel and Distributed Systems. 18th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2004), New Mexico, USA, April 2004.

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