An effective meta-heuristic based multi-objective hybrid optimization method for workflow scheduling in cloud computing environment

2021 ◽  
Author(s):  
Jabir Kakkottakath Valappil Thekkepuryil ◽  
David Peter Suseelan ◽  
Preetha Mathew Keerikkattil
Keyword(s):  
Cloud Computing ◽  
Optimization Method ◽  
Hybrid Optimization ◽  
Workflow Scheduling ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Multi Objective ◽  
Hybrid Optimization Method

Workflow Scheduling for Scientific Application in Homogeneous Cloud Environment

2017 ◽  
Vol 7 (7) ◽  
pp. 137
Author(s):  
. Monika ◽  
Pardeep Kumar ◽  
Sanjay Tyagi
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Large Data ◽  
Workflow Scheduling ◽  
Cloud Environment ◽  
Computing Environment ◽  
Scientific Application ◽  
Cloud Computing Environment ◽  
Flow Of Information

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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