Adaptive and dynamic service composition using Q-learning

Hongbing Wang, Xuan Zhouy, Xiang Zhou, Weihong Liu, Wenya Li

科研成果: 书/报告/会议事项章节会议稿件同行评审

25 引用 (Scopus)

摘要

In a dynamic environment, some services may become unavailable, some new services may be published and the various properties of the services, such as their prices and performance, may change. Thus, to ensure user satisfaction in the long run, it is desirable that a service composition can automatically adapt to these changes. To this end, we leverage the technology of reinforcement learning and propose a mechanism for adaptive service composition. The mechanism requires no prior knowledge about services' quality, while being able to achieve the optimal composition solution. In addition, it allows a composite service to dynamically adjust itself to fit a varying environment. We present the design of our mechanism, and demonstrate its effectiveness through an extensive experimental evaluation.

源语言英语
主期刊名Proceedings - 22nd International Conference on Tools with Artificial Intelligence, ICTAI 2010
145-152
页数8
DOI
出版状态已出版 - 2010
已对外发布
活动22nd International Conference on Tools with Artificial Intelligence, ICTAI 2010 - Arras, 法国
期限: 27 10月 201029 10月 2010

出版系列

姓名Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
1
ISSN(印刷版)1082-3409

会议

会议22nd International Conference on Tools with Artificial Intelligence, ICTAI 2010
国家/地区法国
Arras
时期27/10/1029/10/10

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