Load Balancing In Cloud Computing Using Task Scheduling

Authors

  • Pooja Binawade  Department of Computer Engineering, Sinhgad academy of Engineering, Pune, Maharashtra, India
  • Niranand Khedkar  Department of Computer Engineering, Sinhgad academy of Engineering, Pune, Maharashtra, India
  • Sayali Bendre  Department of Computer Engineering, Sinhgad academy of Engineering, Pune, Maharashtra, India
  • Mihir Kulkarni  Department of Computer Engineering, Sinhgad academy of Engineering, Pune, Maharashtra, India

Keywords:

Cloud Computing,, Load Balancing, Task scheduling, Server scheduling, cost etc.

Abstract

Entire internet based activity has been covered by cloud computing. Unlike other technologies cloud computing is developing day by day and faces many problems as well as challenges. One of them is scheduling. Cloud Computing is the utilization of pool of resources for remote users through internet that can be easily accessible, scalable and utilization of resources. To attain maximum utilization of resources the tasks need to be scheduled. The problem in scheduling is allocating the correct resources to the arrived tasks. Dynamic scheduling is that the task arrival is uncertain at run time and allocating resources are tedious as several tasks arrive at the same time. Scheduling, it is a technique used to improve the overall execution time of the task or job. Task scheduling plays an important role in cloud computing systems. The aim is to schedule the tasks effectively so as to reduce the turnaround time and improve resource utilization.[1]

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-06-30

Issue

Volume 2, Issue 3, May-June-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Pooja Binawade, Niranand Khedkar, Sayali Bendre, Mihir Kulkarni, " Load Balancing In Cloud Computing Using Task Scheduling" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 3, pp.553-556, May-June-2017.