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dc.contributor.authorAl-Turjman, Fadi
dc.contributor.authorAltrjman, Chadi
dc.contributor.authorAlturjman, Sinem
dc.contributor.authorHussain, Adedoyin A.
dc.date.accessioned2023-02-21T09:53:35Z
dc.date.available2023-02-21T09:53:35Z
dc.identifier.citationHussain A. A., Al-Turjman F., Alturjman S., Altrjman C., "A Hybrid Scheduling Approach in the Cloud", 2nd International Conference on Forthcoming Networks and Sustainability in the IoT Era (FoNeS-IoT), ELECTR NETWORK, 8 - 09 Ocak 2022, cilt.129, ss.418-431
dc.identifier.othervv_1032021
dc.identifier.otherav_37f6f707-95d2-4a60-8994-34ec258f0b4a
dc.identifier.urihttp://hdl.handle.net/20.500.12627/187912
dc.identifier.urihttps://doi.org/10.1007/978-3-030-99616-1_55
dc.description.abstractThe cloud has grown in wide popularity in recent years. It provides metered resources to end-users. The user gets to pay for the resource being utilized. The provision of these resources has become an issue that is to be addressed in the cloud in order to guarantee customer certification. The introduction of task scheduling will assist in curbing this issue. Has scheduling the task to the appropriate resource will guaranty users' quality of service. In this work, a hybrid genetic algorithm is being proposed. Genetic algorithm works on the basis of natural selection. The work is being validated by using computational parameters from both the user desired and provider desired criteria like time, cost, and throughput, and resource utilization. Then the proposed technique is compared to other scheduling techniques like first come first serve, short job first, and round-robin for more validity. The proposed technique has the best execution rate with a rate of 32.47 ms. The results show that the proposed hybrid GA reduces time and cost. This is a convincing technique for cloud computation.
dc.language.isoeng
dc.subjectBilgisayar Bilimleri
dc.subjectBiyoenformatik
dc.subjectMühendislik ve Teknoloji
dc.subjectTeorik Bilgisayar Bilimi
dc.subjectGenel Mühendislik
dc.subjectMühendislik (çeşitli)
dc.subjectBilgisayar Bilimi Uygulamaları
dc.subjectBilgisayar Ağları ve İletişim
dc.subjectBilgisayar Bilimi (çeşitli)
dc.subjectGenel Bilgisayar Bilimi
dc.subjectMühendislik
dc.subjectFizik Bilimleri
dc.subjectBilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği
dc.subjectTELEKOMÜNİKASYON
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectBilgisayar Bilimi
dc.subjectBİLGİSAYAR BİLİMİ, TEORİ VE YÖNTEM
dc.titleA Hybrid Scheduling Approach in the Cloud
dc.typeBildiri
dc.contributor.departmentYakın Doğu Üniversitesi , ,
dc.identifier.volume129
dc.contributor.firstauthorID3454918


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