Open AccessOptimized Job Scheduling Algorithm in Cloud Computing Environment
Author(s) -
Shyam Sunder Pabboju*,
G. Manoj Reddy,
P.R.G. Varma,
K. S. Kavi Kumar
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.f3901.049620
Subject(s) - cloud computing , computer science , job scheduler , scheduling (production processes) , distributed computing , job shop scheduling , fair share scheduling , algorithm , cost reduction , rate monotonic scheduling , operations management , business , operating system , engineering , schedule , marketing
There is a strong trend towards cloud technologies in the SME(Small and Medium Enterprises) sector, largely due to cost reduction, capex availability, and sometimes by collaboration features. Now a days so many startup companies are getting emerged and for them buying the resources for one time usage it becomes more expensive so they are preferring to using the cloud services(SLA) to overcome all this problems. In Cloud computing it essential to check weather a resource is available for allocating or not and allocating the jobs for the clients request is the big task. There are many job scheduling algorithm already proposed by the researchers to implement in cloud environment. After studying there algorithm we have came up with the most effective job scheduling algorithm. It is totally depending on Size and Arrival time of the job. By implementing our proposed algorithm we can obtain the better optimal solution to improve the overall performance of the system and gives more effective results compared to other job scheduling algorithms.