Optimal Resource Scheduling for IaaS Cloud Computing using Cuckoo Search Algorithm

  • Madni S
  • Abd Latiff M
  • Abdulhamid S
N/ACitations
Citations of this article
8Readers
Mendeley users who have this article in their library.

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.

Cite

CITATION STYLE

APA

Madni, S. H. H., Abd Latiff, M. S., & Abdulhamid, S. M. (2017). Optimal Resource Scheduling for IaaS Cloud Computing using Cuckoo Search Algorithm. Sains Humanika, 9(1–3). https://doi.org/10.11113/sh.v9n1-3.1145

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free