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Goal-Directed Service Flow Planning (Service Composition)

Time. 1 Node. 3 Nodes. 5 Nodes. Min. 17.6s. 17.5s. 18.1s. Max. 23.3s. 49.7s. 96.2s. Average. 19.0s. 31.8s. 41.3s. Total. 1047.7s. 704.9s. 552.1s. Goal-Directed Service Flow Planning (Service Composition). William K. Cheung, Jiming Liu, Maggie M. Wang, Hoi-Fai Wong, Kevin Tsang.

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Goal-Directed Service Flow Planning (Service Composition)

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  1. Time 1 Node 3 Nodes 5 Nodes Min 17.6s 17.5s 18.1s Max 23.3s 49.7s 96.2s Average 19.0s 31.8s 41.3s Total 1047.7s 704.9s 552.1s Goal-Directed Service Flow Planning (Service Composition) William K. Cheung, Jiming Liu, Maggie M. Wang, Hoi-Fai Wong, Kevin Tsang • Wisdom Web (Semantic Web + Grid + Autonomy) • (A) Services Discovery and Selection • Wrapping the Grid resources with semantics to ease the distributed resource management issues. • E.g., discovering a host “running Unix” with an “average response time = 1 sec.” for executing a particular “C4.5” implementation. • (B) Services Flow Planning (followed by service orchestration) • Solving user-defined problems autonomously remains a challenge (e.g., asking via a Grid connected mobile phone “Please find me a stock worth buying”). A bidding mechanism for adaptive service selection W. K. Cheung, J. Liu, K. Tsang and R. Wong, “Towards Autonomous Service Composition in A Grid Environment,” Proceedingsof ICWS, July 2004 W. K. Cheung, J. Liu, K. H. Tsang, and R. K. Wong, “Dynamic Resource Selection for Service Composition in the Grid,” Proceedings of WI, Sept 2004

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