TY - GEN
T1 - Adaptive and dynamic service composition using Q-learning
AU - Wang, Hongbing
AU - Zhouy, Xuan
AU - Zhou, Xiang
AU - Liu, Weihong
AU - Li, Wenya
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=78751556204&partnerID=8YFLogxK
U2 - 10.1109/ICTAI.2010.28
DO - 10.1109/ICTAI.2010.28
M3 - 会议稿件
AN - SCOPUS:78751556204
SN - 9780769542638
T3 - Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
SP - 145
EP - 152
BT - Proceedings - 22nd International Conference on Tools with Artificial Intelligence, ICTAI 2010
T2 - 22nd International Conference on Tools with Artificial Intelligence, ICTAI 2010
Y2 - 27 October 2010 through 29 October 2010
ER -