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.
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Lavanya, M., Santhi, B., Saravanan, S. (2019). Adaptive Cloudlet Scheduling Algorithm Using Three Phase Optimization Technique. In: Zimale, F., Enku Nigussie, T., Fanta, S. (eds) Advances of Science and Technology. ICAST 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 274. Springer, Cham. https://doi.org/10.1007/978-3-030-15357-1_24
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DOI: https://doi.org/10.1007/978-3-030-15357-1_24
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