DocumentCode :
2996718
Title :
Combined Cache Policy for Service Workflow Execution Acceleration
Author :
Yidong Chen ; Jian Cao ; Jing Xiao
Author_Institution :
Shanghai Key Lab. of Scalable Comput. & Syst., Shanghai Jiaotong Univ., Shanghai, China
fYear :
2012
fDate :
22-24 Nov. 2012
Firstpage :
72
Lastpage :
79
Abstract :
In recent years, to compose a set of web services as a service workflow is becoming a common practice. When a service workflow is executing, a service workflow engine is responsible for service invocations in terms of the process logics. In order to accelerate the executions of service workflows, the invocation results of services can be cached to facilitate future reuse so that the re-invocations of the services can be possibly avoided. A combined cache policy based on the service relationship modeling is proposed. The cache problem of a service workflow is formalized firstly. The data structure for this policy based on a chained table is then defined. How to refresh the cache is also discussed. Experiment´s results show that the execution speed is increased comparing with the policy of independent service cache policy. At the same time, the amount of cache refresh time is decreased.
Keywords :
Web services; data structures; Web services; cache refresh time; data structure; execution speed; independent service cache policy; service invocations; service relationship modeling; service workflow engine; service workflow execution acceleration; Acceleration; Engines; Equations; Mathematical model; Resource management; Servers; Web services; cache; web services; workflow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud and Service Computing (CSC), 2012 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-4724-2
Type :
conf
DOI :
10.1109/CSC.2012.19
Filename :
6414481
Link To Document :
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