scholarly journals IPSO Task Scheduling Algorithm for Large Scale Data in Cloud Computing Environment

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 5412-5420 ◽  
Author(s):  
Heba Saleh ◽  
Heba Nashaat ◽  
Walaa Saber ◽  
Hany M. Harb
2019 ◽  
Vol 9 (1) ◽  
pp. 279-291 ◽  
Author(s):  
Proshikshya Mukherjee ◽  
Prasant Kumar Pattnaik ◽  
Tanmaya Swain ◽  
Amlan Datta

AbstractThis Paper focuses on multi-criteria decision making techniques (MCDMs), especially analytical networking process (ANP) algorithm to design a model in order to minimize the task scheduling cost during implementation using a queuing model in a cloud environment and also deals with minimization of the waiting time of the task. The simulated results of the algorithm give better outcomes as compared to other existing algorithms by 15 percent.


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