Resource Optimization Using Cloud Scheduling
Naresh T1, A Jaya Lakshmi2, Vuyyuru Krishna Reddy3
1Naresh T, Department of Computer Science and Engineering, K L University, Vijayawada, India.
2Dr. A. Jayalakshmi, Department of Computer Science and Engineering, MIC College of Technology, Vijayawada, India.
3Dr. Vuyyuru Krishna Reddy, Department of Computer Science and Engineering, K L University, Vijayawada, India.
Manuscript received on 10 April 2019 | Revised Manuscript received on 17 April 2019 | Manuscript Published on 24 May 2019 | PP: 184-189 | Volume-8 Issue-6S3 April 2019 | Retrieval Number: F22310486S219/19©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: Relevance of cloud has been increasing since the inception of internet, cloud has been one of the promising technologies which provide services over the internet .There are various cloud providers, Multiple clients need cloud resources over the internet. Clients have multiple option to choose among various cloud providers. Thus cloud providers aim to provide a cost minimal product which can be achieved via The utilization of resources should be scheduled efficiently properly in order to make the cloud system work efficiently. Cloud data center are assigned resources with the help of virtual machine scheduling and simultaneously request for resources has become an problem to address this problem improving the system performance by impacting the cost and scheduling technique VM are needed. In this paper we propose a hybrid resource utilization strategy known as cuckoo-Particle Swarm Optimization (PSO).
Keywords: Cloud Computing, Cloud Resource Scheduling Cloud Workloads, Make Span, Profit Maximization, Resource Distribution Policies, Resource Management, Resource Scheduling Tools.
Scope of the Article: Computer Science and Its Applications