An adaptive fine-grained performance modeling approach for internetware

  • Authors:

  • Xiang Huang;Wei Wang;Wenbo Zhang;Jun Wei;Tao Huang

  • Affiliations:

  • Institute of Software, Chinese Academy of Sciences, Beijing, China and Graduate University, Chinese Academy of Sciences, Beijing, China;Institute of Software, Chinese Academy of Sciences, Beijing, China;Institute of Software, Chinese Academy of Sciences, Beijing, China;Institute of Software, Chinese Academy of Sciences, Beijing, China;Institute of Software, Chinese Academy of Sciences, Beijing, China

  • Venue:
  • Proceedings of the Second Asia-Pacific Symposium on Internetware
  • Year:
  • 2010

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Abstract

With the great success of internet technology, internetware has become one of the most important software paradigms. But the open, dynamic and uncertain network makes it difficult to guarantee the performance of internetwares. Feed forward control method has been proved to be an effective mechanism for performance guarantee in advance, but it is difficult to work well in such a dynamic environment, in which performance aspects are highly changeable because for the load fluctuation and software updates. In this paper, we proposed an adaptive performance modeling approach to adapt the environment and provide fine-grained performance guarantee. In our approach, the service invocation sequences corresponding to the load of internetware are constructed adaptively. And the service time of each service, which is the most performance parameter of our performance tool, is accurately acquired through Kalman filter.