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المؤلفAljafer, Hussain
المؤلفMalik, Zaki
المؤلفHashmi, Khayyam
المؤلفErradi, Abdelkarim
تاريخ الإتاحة2023-04-10T09:10:04Z
تاريخ النشر2015
اسم المنشور7th International ACM Conference on Management of Computational and CollEctive Intelligence in Digital EcoSystems, MEDES 2015
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1145/2857218.2857237
معرّف المصادر الموحدhttp://hdl.handle.net/10576/41801
الملخصCloud computing has become a major building block for Web applications where the service providers provide the costumers with Web services performing certain tasks so the system developers can use these services instead of implementing them. Service computing follows the "pay-peruse" as a model for pricing. Due to the variety of service providers, we have many different prices for services and these services have different performance characteristics. The problem here is how to find the best services in terms of cost and performance and is it feasible to switch from one service provider to another. In this paper we propose Wcost, a scheme to resolve this problem based on POCEA algorithm which is a combination of P-Optimality and Genetic algorithms which result in more efficient solution than Genetic Algorithm approaches. Our proposed scheme includes a flexible and easily customizable objective function that is suitable for different types of Web services to be composed. 2015 ACM.
اللغةen
الناشرAssociation for Computing Machinery, Inc
الموضوعWeb services
Web service cost
Cloud computing
Web applications
pay-per-use
System developers
العنوانWeb service cost optimization
النوعConference Paper
الصفحات116-120
dc.accessType Abstract Only


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