DocumentCode
2701448
Title
Online Optimization in Application Admission Control for Service Oriented Systems
Author
Bannazadeh, Hadi ; Leon-Garcia, Alberto
Author_Institution
Electr. & Comput. Eng. Dept., Univ. of Toronto, Toronto, ON
fYear
2008
fDate
9-12 Dec. 2008
Firstpage
482
Lastpage
487
Abstract
In a service oriented environment an application is created through the composition of different service components. In this paper, we investigate the problem of application admission control in a service oriented environment. We propose an admission control system that makes admission decisions using an online optimization approach. The core part of the proposed system is an online optimization algorithm that solves a binary integer programming problem which we formulate in this paper. An online optimizer maximizes the system revenue given the system´s available resources as well as the system´s previous commitments. Another part of the proposed system carries out a feasibility evaluation that is intended to guarantee an agreed level of probability of success for each admitted application instance. We use simulations and performance comparisons to show that the proposed application admission control system can improve the system revenue while guaranteeing the required level of quality of service.
Keywords
optimisation; quality of service; software architecture; application admission control; online optimization; quality of service; service oriented systems; Admission control; Application software; Heuristic algorithms; Joining processes; Linear programming; Mashups; Quality of service; Resource management; Service oriented architecture; Web and internet services; Application Admission Control; Service Commitment; Service Composition; Service-Oriented Architecture;
fLanguage
English
Publisher
ieee
Conference_Titel
Asia-Pacific Services Computing Conference, 2008. APSCC '08. IEEE
Conference_Location
Yilan
Print_ISBN
978-0-7695-3473-2
Electronic_ISBN
978-0-7695-3473-2
Type
conf
DOI
10.1109/APSCC.2008.163
Filename
4780721
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