Optimal resource scheduling technique for IaaS Cloud computing

Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/12371

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DC Field	Value	Language
dc.contributor.author	Madni, Syed Hamid Hussain	-
dc.contributor.author	Abd Latiff, Muhammad Shafie	-
dc.contributor.author	Abdulhamid, Shafi’i Muhammad	-
dc.date.accessioned	2021-08-04T07:57:45Z	-
dc.date.available	2021-08-04T07:57:45Z	-
dc.date.issued	2016-04-02	-
dc.identifier.uri	https://sps.utm.my/igcesh2016/list-of-accepted-abstracts/	-
dc.identifier.uri	http://repository.futminna.edu.ng:8080/jspui/handle/123456789/12371	-
dc.description.abstract	In cloud computing, for the effective performance of any system, there is a need of effective resource scheduling. A resource scheduling problem in IaaS cloud computing is considered in this paper. Resource scheduling problem is proved to be NP-hard. A recently developed cuckoo search (CS) meta-heuristic algorithm is presented in this paper, to minimize the execution time, makespan and throughput for the resource scheduling in IaaS cloud computing. Simulation results show that CS algorithm outperforms many other metaheuristic algorithms.	en_US
dc.language.iso	en	en_US
dc.publisher	6th International Graduate Conference on Engineering, Science and Humanities (IGCESH2016)	en_US
dc.subject	Resource Scheduling	en_US
dc.subject	IaaS	en_US
dc.subject	Cuckoo Search	en_US
dc.subject	Meta-heuristic	en_US
dc.title	Optimal resource scheduling technique for IaaS Cloud computing	en_US
dc.type	Article	en_US
Appears in Collections:	Cyber Security Science

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