A Method Towards Allocation of VM using a Cuckoo Search Algorithm
Roma Singh1, Rohit Bajaj2, Jaspreet Singh3
1Roma Singh, Chandigarh University, Mohali, India.
2Rohit Bajaj, Chandigarh University, Mohali, India.
3Jaspreet Singh, Chandigarh University, Mohali, India
Manuscript received on 21 September 2019 | Revised Manuscript received on 30 September 2019 | Manuscript Published on 01 October 2019 | PP: 136-142 | Volume-8 Issue-9S4 July 2019 | Retrieval Number: I11200789S419/19©BEIESP | DOI: 10.35940/ijitee.I1120.0789S419
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cloud computing is a new technology created for complex systems with massive service sharing. It is not easy to analyze the cloud model due to its complex and large scale structure. To meet the user’s requirement along with the quality of service (QoS) parameters become the most dominating research issue. The QoS parameters are affected due to various issues such as load balancing, Virtual Machine (VM), makespan, throughput, Utilization of Hosts’ Processing Capability (UHPC) and many more. The allocation policy of VM mainly used to place VMs on hosts at various datacenters. This article outlines the new VM allocation policy using Modified Best Fit Decreasing (MBFD) along with with Cuckoo Search (CS) algorithm that delivers the VM burden between hosts to improve the handling capability and the cloud system performance. The test results are obtained using CloudSim trace simulation and the QoS are compared with existing allocation policies of VM.
Keywords: Cloud Computing, MBFD, Simple policy, Round Robin, CS, Throughput, Makespan, UHPC, VM and Host.
Scope of the Article: Cloud Computing