Optimal scheduling workflows in cloud computing environment using Pareto-based Grey Wolf Optimizer

2017 ◽  
Vol 29 (11) ◽  
pp. e4044 ◽  
Author(s):  
Azade Khalili ◽  
Seyed Morteza Babamir
Author(s):  
Nebojsa Bacanin ◽  
Timea Bezdan ◽  
Eva Tuba ◽  
Ivana Strumberger ◽  
Milan Tuba ◽  
...  

2011 ◽  
Vol 4 (3) ◽  
pp. 132-133
Author(s):  
Krishnakumar L Krishnakumar L ◽  
◽  
Jimy Joy

Author(s):  
. Monika ◽  
Pardeep Kumar ◽  
Sanjay Tyagi

In Cloud computing environment QoS i.e. Quality-of-Service and cost is the key element that to be take care of. As, today in the era of big data, the data must be handled properly while satisfying the request. In such case, while handling request of large data or for scientific applications request, flow of information must be sustained. In this paper, a brief introduction of workflow scheduling is given and also a detailed survey of various scheduling algorithms is performed using various parameter.


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