Q-SAC: toward QoS optimized service automatic composition

Authors:
Hanhua Chen;Hai Jin;Xiaoming Ning;Zhipeng Lu
Affiliations:
Cluster & Grid Comput. Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China;Cluster & Grid Comput. Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China;Cluster & Grid Comput. Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China;Cluster & Grid Comput. Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China
Venue:
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02
Year:
2005

Citing 0
Cited 3

An Agent-Based Web Service Composition Using Semantic Information and QoS

KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Applying service composition in digital museum grid

ISPA'05 Proceedings of the 2005 international conference on Parallel and Distributed Processing and Applications
Dynamic configuring service on semantic grid

WAIM '06 Proceedings of the 7th international conference on Advances in Web-Age Information Management

Quantified Score

Hi-index	0.00

Visualization

Abstract

The emerging service grids bring together various distributed services to a 'market' for clients to request and enable the integration of services across distributed, heterogeneous, and dynamic virtual organizations. In the experience of constructing and using the ChinaGrid, we meet two challenges, optimizing the QoS of the grid resources and minimizing complexity for application users and developers. In this paper, we present Q-SAC, a QoS optimized service automatic composition model to address these problems. Two main features of Q-SAC are (1) automatic grid service composition, and (2) global level multidimensional QoS optimization for the composition plan. We design the algorithms for generating and optimizing the composite services. The simulation results show that our model and solution are practical and efficient.