Open AccessEfficient Task Scheduling for Quality of Service in Cloud Computing Network
Author(s) -
Dupati Srikar*,
T. Manoranjitham
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.e6400.018520
Subject(s) - cloudsim , computer science , job shop scheduling , queue , scheduling (production processes) , cloud computing , task (project management) , quality of service , distributed computing , response time , computer network , real time computing , mathematical optimization , operating system , engineering , mathematics , routing (electronic design automation) , systems engineering
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.