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Task Scheduling Performance Evaluation of Unreliable Virtual Machines and Cloudlets

  • Aparna JoshiEmail author
  • Shyamala Devi Munisamy
Conference paper
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 3)

Abstract

For load balancing in cloud computing environment, scheduling algorithm are used. This paper analyses the research on scheduling algorithms. Further, using cloudsim simulation tools, evaluation of performance of the three algorithms i.e. First Come First Serve (FCFS), Generalized Priority (GP) and Shortest Job First (SJF) was carried out. Three algorithms were compared by varying both virtual machines (VM) and cloudlets, keeping constant VM and increasing Cloudlets, varying the nature of tasks. For all the three algorithms, as the number of cloudlets increases, execution time increases. Generalized Priority algorithm (GP) has lower execution time than both First Come First Serve (FCFS) and Shortest Job First (SJF) algorithms. For homogeneous type of tasks, execution time of FCFS is lower and for heterogeneous type of tasks, execution time of GP is lower. Homogeneous tasks required less execution time than Heterogeneous tasks.

Keywords

Cloud computing Scheduling algorithm Load balancing First Come First Serve Shortest Job First Generalized Priority 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and TechnologyChennaiIndia

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