Research Article
Adaptive Cloudlet Scheduling Algorithm Using Three Phase Optimization Technique
@INPROCEEDINGS{10.1007/978-3-030-15357-1_24, author={Mohan Lavanya and B. Santhi and Sivasankaran Saravanan}, title={Adaptive Cloudlet Scheduling Algorithm Using Three Phase Optimization Technique}, proceedings={Advances of Science and Technology. 6th EAI International Conference, ICAST 2018, Bahir Dar, Ethiopia, October 5-7, 2018, Proceedings}, proceedings_a={ICAST}, year={2019}, month={3}, keywords={Scheduling Virtual machine Adaptive approach Cloudsim}, doi={10.1007/978-3-030-15357-1_24} }- Mohan Lavanya
B. Santhi
Sivasankaran Saravanan
Year: 2019
Adaptive Cloudlet Scheduling Algorithm Using Three Phase Optimization Technique
ICAST
Springer
DOI: 10.1007/978-3-030-15357-1_24
Abstract
The purpose of cloud computing is to give suitable access to the remote scattered resources. This is achieved through virtualization, which separates the physical computing resources into multiple virtual resources. The other technologies like grid, utility and distributed computing are the backbone of cloud computing. The scheduler plays important role because the user has to pay for the resource based on the time consumed during their usage. Currently, cloudlets and the virtual machines are scheduled according to FCFS and round robin which has higher latency. In order to reduce the latency and to have uniform distribution in scheduling the cloudlets to the Virtual Machines, this paper introduces called ACS3O algorithm which consists of 3 phases of optimization techniques using gang and dedicated processor scheduling to schedule the cloudlets. The proposed cloudlet scheduling algorithm optimizes few basic parameters like waiting time and makespan which have significant impact in the performance. Simulation is done in a Cloudsim environment to evaluate the proposed algorithm.