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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
Cloud-computing security
Issue Date: 2-Mar-2017
Publisher: Sains Humanika
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.
ISSN: 2289-6996
Appears in Collections:Cyber Security Science

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