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المؤلفKholidy, Hisham A.
المؤلفHassan, Hala
المؤلفSarhan, Amany M.
المؤلفErradi, Abdelkarim
المؤلفAbdelwahed, Sherif
تاريخ الإتاحة2023-04-10T09:10:05Z
تاريخ النشر2015
اسم المنشورLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1007/978-3-319-19656-5_48
معرّف المصادر الموحدhttp://hdl.handle.net/10576/41824
الملخصCloud service composition is usually long term based and economically driven. Services in cloud computing can be categorized into two groups: Application services and Computing Services. Compositions in the application level are similar to the Web service compositions in Service-Oriented Computing. Compositions in the computing level are similar to the task matching and scheduling in grid computing. We consider cloud service composition from end users perspective. We propose Genetic Algorithm-based approach to model the cloud service composition problem. A comparison is given between the proposed composition approach and other existing algorithms such as Integer Linear Programming. The experiment results proved the efficiency of the proposed approach. Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015.
راعي المشروعThis work was made possible by NPRP grant # 7 - 481-1 - 088 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
اللغةen
الناشرSpringer Verlag
الموضوعCloud computing
Cloud service composition
Genetic algorithm
Quality of service
العنوانQoS optimization for cloud service composition based on economic model
النوعConference Paper
الصفحات355-366
رقم المجلد150
dc.accessType Abstract Only


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