Please use this identifier to cite or link to this item:
http://ir.futminna.edu.ng:8080/jspui/handle/123456789/8939
Title: | Optimal Resource Scheduling for IaaS Cloud Computing using Cuckoo Search Algorithm |
Authors: | Madni, Syed Hamid Hussain Abd Latiff, Muhammad Shafie Abdulhamid, Shafi’i Muhammad |
Keywords: | meta-heuristic, cloud computing cuckoo search Resource scheduling IaaS Cloud-computing security |
Issue Date: | 2-Mar-2017 |
Publisher: | Sains Humanika |
Citation: | http://dx.doi.org/10.11113/sh.v9n1-3.1145 |
Series/Report no.: | 9: 1-3, 71–76; |
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. |
URI: | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/8939 |
ISSN: | 2289-6996 |
Appears in Collections: | Cyber Security Science |
Files in This Item:
File | Description | Size | Format | |
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26.pdf | Optimal Resource Scheduling for IaaS Cloud Computing using Cuckoo Search Algorithm | 1.05 MB | Adobe PDF | View/Open |
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