Efficient Task Scheduling for Quality of Service in Cloud Computing Network
T. Manoranjitham1, Dupati Srikar2
1Dupati Srikar*, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
2T. Manoranjitham, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
Manuscript received on January 01, 2020. | Revised Manuscript received on January 20, 2020. | Manuscript published on January 30, 2020. | PP: 3193-3196 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6400018520/2020©BEIESP | DOI: 10.35940/ijrte.E6400.018520
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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: Task scheduling in cloud is the process of allocating a resource to a task at specific time. The allocation of limited cloud resources to large number of tasks to satisfy the required quality of service is the key challenge in cloud. Allocation of a resource with less capability to a task increases the response time, makespan of the task and waiting time of the entire tasks in the waiting queue. This problem will result to an unsatisfied Quality of Service. In this paper we proposed an efficient task scheduling that uses three threshold values to specify the resource to be allocated to a task at a given time. This method ensures that a capable resource is allocated to task such that the response time and makespan of the all task are minimized. The proposed method was simulated using CloudSim and the result shows a better response time and makespan than the well known Min-Min and Max-Min Method.
Keywords: Task Scheduling, Waiting Time, Response Time, VM Utilization, Qos.
Scope of the Article: Cloud Computing.