Affiliations: [a] Department of Computer Science and Engineering, Kalyani Government Engineering College, Kalyani, Nadia | [b] Institute of Science and Technology, West Bengal, India | [c] University of Kalyani, Kalyani, Nadia
Correspondence:
[*]
Corresponding author: Sourav Banerjee, Department of Computer Science and Engineering, Kalyani Government Engineering College, Kalyani, Nadia. E-mail: mr.sourav.banerjee@ieee.org.
Abstract: Cloud computing is the ubiquitous on demand service that has brought remarkable revolution in the commercialization of High Performance Computing (HPC) [1]. Quality of Service (QoS) is the vital factor that always seeks high attention. Efficient Resource allocation and management techniques along with advance load balancing approaches make a bigger difference in terms of total system throughput. Several frameworks and algorithmic approaches are proposed in these areas to improve the throughput. Cloudlets are the tasks formed as the requirements of cloud users and submitted to the Local Queues (LQ) of Virtual Machines (VM) by the Datacenter Broker (DCB) to be processed. In this paper the main focus is given to this cloudlet scheduling policy which is nothing but an enhancement of the existing Improved Round Robin Cloudlet Scheduling Algorithm (IRRCSA) and Round Robin Algorithm (RRA). CloudSim 3.0.3 is used to implant the modelling and several parameters like Context Switching (CS), waiting Time (WT), Turnaround Time (TAT) are taken into account to highlight the QoS improvement in comparison with the IRRCSA and RRA approaches.
Keywords: Cloudlet, Local Queue (LQ), Virtual Machine (VM), Quality of Services (QoS), Datacenter Broker (DCB), CloudSim 3.0.3, Improved Round Robin Cloudlet Scheduling Algorithm (IRRCSA), Round Robin Algorithm (RRA)
