REVIEW OF TASK SCHEDULING METHODS FOR REAL TIME TASKS IN CLOUD ENVIRONMENT

Authors

  • Dinkan Patel Department of Computer Engineering, Grow more Faculty of Engineering, Himatnagar, Gujarat, India
  • Anjuman Ranavadiya Department of Computer Engineering, Grow more Faculty of Engineering, Himatnagar, Gujarat, India

DOI:

https://doi.org/10.29121/ijetmr.v5.i1.2018.50

Keywords:

Cloud Computing, Service Model, Dynamic Scheduling, Static Scheduling, Virtual Machine, Task Scheduler

Abstract

Cloud Computing is a type of Internet model that enables convenient, on-demand resources that can be used rapidly and with minimum effort. Cloud Computing can be IaaS, PaaS or SaaS. Scheduling of these tasks is important so that resources can be utilized efficiently with minimum time which in turn gives better performance. Real time tasks require dynamic scheduling as tasks cannot be known in advance as in static scheduling approach. There are different task scheduling algorithms that can be utilized to increase the performance in real time and performing these on virtual machines can prove to be useful. Here a review of various task scheduling algorithms is done which can be used to perform the task and allocate resources so that performance can be increased.

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References

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Published

2018-01-31

How to Cite

Patel, D., & Ranavadiya, A. (2018). REVIEW OF TASK SCHEDULING METHODS FOR REAL TIME TASKS IN CLOUD ENVIRONMENT. International Journal of Engineering Technologies and Management Research, 5(1), 85–89. https://doi.org/10.29121/ijetmr.v5.i1.2018.50