Almost all current automatic service composition （ASC） algorithms consider only single nonfunctional requirements, namely quality of service （QoS）, which cannot satisfy the real application. This paper proposes M...Almost all current automatic service composition （ASC） algorithms consider only single nonfunctional requirements, namely quality of service （QoS）, which cannot satisfy the real application. This paper proposes MAT （multi-QoS aware top-K ASC） algorithm to realize the high-efficiency exploring and rank- ing of composition scheme by synthesizing more nonfunctional goals. MAT algorithm explores composition schemes by the sky- line technique based on tape model and ranks these schemes by a modified binary tree. Using Web service challenge （WSC） 2009 dataset, we verify the performance of MAT algorithm and the experimental result is even close to the current fastest ASC algo- rithm considering only single QoS.展开更多
基金Supported by the National Natural Science Foundation of China(U1135005)the Dawn Plan Project of Wuhan(2013070104010036)
文摘Almost all current automatic service composition （ASC） algorithms consider only single nonfunctional requirements, namely quality of service （QoS）, which cannot satisfy the real application. This paper proposes MAT （multi-QoS aware top-K ASC） algorithm to realize the high-efficiency exploring and rank- ing of composition scheme by synthesizing more nonfunctional goals. MAT algorithm explores composition schemes by the sky- line technique based on tape model and ranks these schemes by a modified binary tree. Using Web service challenge （WSC） 2009 dataset, we verify the performance of MAT algorithm and the experimental result is even close to the current fastest ASC algo- rithm considering only single QoS.
