Task Scheduling Allocation based on Task Completion Time in Cloud Environment
Swathi Sambangi1, Lakshmeeswari Gondi2
1Swathi Sambangi*, Research Scholar, Dept of CSE, GITAM University, Visakhapatnam, India.
2Lakshmeeswari Gondi, Dept of CSE, GITAM University, Visakhapatnam, India.
Manuscript received on November 12, 2019. | Revised Manuscript received on November 25, 2019. | Manuscript published on 30 November, 2019. | PP: 5207-5213 | Volume-8 Issue-4, November 2019. | Retrieval Number: D7409118419/2019©BEIESP | DOI: 10.35940/ijrte.D7409.118419
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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: Cloud computing is a prominent computing model wherein shared resources can be given as per the customer request at a time. The available resources in the cloud are gathered to execute several tasks that are submitted by the customer. While implementing the tasks, there is a need to optimize performance in terms of execution time, response time and resource utilization of the cloud. The optimization of the mentioned factors in the Cloud Computing can be achieved by one of the major areas known as Load balancing which refers to dealing with client requests from diverse application servers that are functioning in the cloud. An efficient Load Balancing algorithm enables the cloud to be more proficient and enhances customer contentment. So, this survey paper highlights the latest studies regarding the application of Load Balancing techniques for task allocation such as resource allocation (RA) strategies, cloud task scheduling centered on Load Balancing, dynamic Resource Allocation schemes, and cloud resource provisioning scheduling heuristics. Finally, Load Balancing performance for task allocation methods is compared based on task completion time.
Keywords: Load Balancing, Cloud Outage, Task Scheduling.
Scope of the Article: Cloud Computing and Networking.