Efficient Cloudlet Allocation to Virtual Machine to Impact Cloud System Performance

Lizia Sahkhar, Bunil Kumar Balabantaray and Satyendra Singh Yadav
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Lizia Sahkhar: National Institute of Technology Meghalaya, India
Bunil Kumar Balabantaray: National Institute of Technology Meghalaya, India
Satyendra Singh Yadav: National Institute of Technology Meghalaya, India

International Journal of Information System Modeling and Design (IJISMD), 2022, vol. 13, issue 6, 1-21

Abstract: Performance is an essential characteristic of any cloud computing system. It can be enhance through parallel computing, scheduling and load balancing. This work evaluates the connection between the response time (RT) and virtual machine’s (VM) CPU utilization when cloudlets are allocated from the datacenter broker to VM. To accentuate the RT and VM’s CPU utilization, a set of 100 and 500 heterogeneous cloudlets are analyzed under hybridized provisioning, scheduling and allocation algorithm using CloudSim simulator. These includes space shared (SS) and time shared (TS) provisioning policy, shortest job first (SJF), first come first search (FCFS), round robin (RR) and a novel length-wise allocation (LwA) algorithm. The experimental analysis shows that the RT is the least when SJF is combined with RR allocation at 40.665 secs and VM’s CPU utilization is the least when SJF is combined with LwA policy at 12.48 in all combinations of SS and TS provisioning policy.

Date: 2022
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