QoS-Aware Replication in Service Composition |
Received:July 31, 2009 Revised:December 30, 2009 Download PDF |
Kun You,Zhuzhong Qian,Bin Tang,Sanglu Lu,Daoxu Chen. QoS-Aware Replication in Service Composition. International Journal of Software and Informatics, 2009,3(4):465~482 |
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Fund:This effort is sponsored by the National Basic Research Program of China (973) under Grant No. 2009CB320705; the National Natural Science Foundation of China under Grant No.90718031;Jiangsu Natural Science Foundation of China under Grant No. BK2008264. |
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Abstract:Service composition is a useful technique to assemble light, independent services to meet the complicated and dynamic requirements. Previous research has addressed the quality-of-service (QoS) aware service composition path selection problem, i.e. choose the right service replicas to construct a composite service, so that the overall QoS could meet the request. However, as the requests grows, the existing service replicas could not support the incoming requests even when we choose the best service composition path. That means the existing services may not satisfy the QoS requirements no matter how we choose the compo-sition path. The reason for it is the scale of the existed service component replicas is small compared with the increasing users requirements. In this case, more service replicas should be deployed on suitable nodes to improve the QoS. But which service component should be selected and where these service replicas should be deployed is a challenge. In this paper,we make a deep study on this service replication problem. We give a detailed description of service replication triggering time. And then, we propose LDCS (Longest Delay Service Component Selection) to select the bottle-neck service component by evaluating the real-time performance of all these components. Finally, we employ MACP (Maximum Available Capacity Path) algorithm to select a suitable node to deploy this service replica. Simulation results approve that our approach is effective and effcient. |
keywords:service composition quality of service replication |
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