Optimal Resource Scheduling for IaaS Cloud Computing using Cuckoo Search Algorithm

Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/8939

Full metadata record

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	2021-07-13T06:34:17Z	-
dc.date.available	2021-07-13T06:34:17Z	-
dc.date.issued	2017-03-02	-
dc.identifier.citation	http://dx.doi.org/10.11113/sh.v9n1-3.1145	en_US
dc.identifier.issn	2289-6996	-
dc.identifier.uri	http://repository.futminna.edu.ng:8080/jspui/handle/123456789/8939	-
dc.description.abstract	Effective resource scheduling is essential for the overall performance of cloud computing system. Resource scheduling problem in IaaS cloud computing is investigated in this paper. It is established to be an NP-hard problem. A recently developed Cuckoo Search (CS) meta-heuristic algorithm is proposed in this paper, to minimize the response time, makespan and throughput for the resource scheduling in IaaS cloud computing. Simulation results show that CS algorithm outperforms that of Ant Colony Optimization (ACO) algorithm based on the considered parameters.	en_US
dc.language.iso	en	en_US
dc.publisher	Sains Humanika	en_US
dc.relation.ispartofseries	9: 1-3, 71–76;	-
dc.subject	meta-heuristic,	en_US
dc.subject	cloud computing	en_US
dc.subject	cuckoo search	en_US
dc.subject	Resource scheduling	en_US
dc.subject	IaaS	en_US
dc.subject	Cloud-computing security	en_US
dc.title	Optimal Resource Scheduling for IaaS Cloud Computing using Cuckoo Search Algorithm	en_US
dc.type	Article	en_US
Appears in Collections:	Cyber Security Science

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