Certain Investigations on Opulence Split Algorithm and Particle Swarm Optimization Algorithm for Task Scheduling in a Virtualized Cloud Environment
Jothi KR1, Kalyanaraman P2, Balakrishnan P3, Faraz Ahmad4

1Jothi KR, Department of Computer Science Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
2KalayanaramanP, Department of Computer Science Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
3Balakrishnan P, Department of Computer Science Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
4Faraz Ahmad, Department of Computer Science Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 908-913 | Volume-8 Issue-6, April 2019 | Retrieval Number: F3772048619/19©BEIESP
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© 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: With the outstanding development in high-speed net technologies, the conception of virtualization and cloud computing has become an additional standard. The cloud framework provides advantageous and on demand access to computing resources over the web. Individual and enterprises can get access to the product resources and equipment, for example, arrange, capacity, server and applications which are found remotely effectively with the assistance of Cloud Service. The tasks/jobs that are submitted to this cloud environment need to be serviced on time exploiting the resources available in order to achieve proper resource utilization, efficiency and lesser makespan. The proposed work surveys a series of currently existing task scheduling algorithms with respect to their characteristics and come up with a new method of real time task scheduling algorithm based on equal resource split.
Keyword: Cloud Platform, Job Scheduling, Efficiency, Makespan, Resource.
Scope of the Article: Innovative Sensing Cloud and Systems