DocumentCode
2117049
Title
Research on Compensation Policy Scheduling Algorithm for Multi-core Processors
Author
Jing Bi ; Zhi-Liang Zhu ; Ming Tie
Author_Institution
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
fYear
2009
fDate
27-28 Feb. 2009
Firstpage
186
Lastpage
190
Abstract
To improve collaboration among enterprise business units and combine enterprise application integration business with existing computer technology, this paper puts forward a data-driven service composition approach, and combine with this approach, an enterprise collaborative Web services composition model is proposed based on SOA (Service-Oriented Architecture) and workflow management technology for the dynamic integration of existing services and new services and the requisite business processes. With the combination of business requirements and services composition, the proposed model can provide services to satisfy consumers. According to the existing problems of the information system of Power Transmission Equipment Plant, the order business process module in enterprise collaborative Web services composition platform is developed based on the proposed model in this paper. Thus the existing resources in the plant can be reused and composed optimally, and more excellent services can be provided.
Keywords
Web services; business data processing; groupware; workflow management software; business data process; collaborative Web service composition model; data-driven service composition approach; service-oriented architecture; service-oriented enterprise; workflow management technology; Application software; Collaborative work; Management information systems; Multicore processing; Power system management; Power system modeling; Scheduling algorithm; Service oriented architecture; Technology management; Web services; cache; compensation policy; multi-core; performance variability;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Software and Networks, 2009. ICCSN '09. International Conference on
Conference_Location
Macau
Print_ISBN
978-0-7695-3522-7
Type
conf
DOI
10.1109/ICCSN.2009.112
Filename
5076836
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