A Particle Grey Wolf Hybrid Algorithm for Workflow Scheduling in Cloud Computing

2021 ◽  
Author(s):  
Neeraj Arora ◽  
Rohitash Kumar Banyal
Keyword(s):  
Cloud Computing ◽  
Hybrid Algorithm ◽  
Workflow Scheduling ◽  
Grey Wolf

A GSA based hybrid algorithm for bi-objective workflow scheduling in cloud computing

2018 ◽  
Vol 83 ◽  
pp. 14-26 ◽  
Author(s):  
Anubhav Choudhary ◽  
Indrajeet Gupta ◽  
Vishakha Singh ◽  
Prasanta K. Jana
Keyword(s):  
Cloud Computing ◽  
Hybrid Algorithm ◽  
Workflow Scheduling

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.

Dynamic characterization of a master–slave robotic manipulator using a hybrid grey wolf–whale optimization algorithm

2021 ◽  
pp. 107754632110034
Author(s):  
Ololade O Obadina ◽  
Mohamed A Thaha ◽  
Kaspar Althoefer ◽  
Mohammad H Shaheed
Keyword(s):  
Optimization Algorithm ◽  
Hybrid Algorithm ◽  
Robot Manipulator ◽  
Moving Average ◽  
Identification Problem ◽  
Whale Optimization Algorithm ◽  
Grey Wolf Optimizer ◽  
Parametric Modelling ◽  
Grey Wolf ◽  
Whale Optimization

This article presents a novel hybrid algorithm based on the grey-wolf optimizer and whale optimization algorithm, referred here as grey-wolf optimizer–whale optimization algorithm, for the dynamic parametric modelling of a four degree-of-freedom master–slave robot manipulator system. The first part of this work consists of testing the feasibility of the grey-wolf optimizer–whale optimization algorithm by comparing its performance with a grey-wolf optimizer, whale optimization algorithm and particle swarm optimization using 10 benchmark functions. The grey-wolf optimizer–whale optimization algorithm is then used for the model identification of an experimental master–slave robot manipulator system using the autoregressive moving average with exogenous inputs model structure. Obtained results demonstrate that the hybrid algorithm is effective and can be a suitable substitute to solve the parameter identification problem of robot models.

A Novel Hybrid Algorithm for Workflow Scheduling in Cloud

2023 ◽  
Vol 12 (6) ◽  
pp. 1
Author(s):  
Ravi S. Singh ◽  
Swati Gupta ◽  
Isha Agarwal
Keyword(s):  
Hybrid Algorithm ◽  
Workflow Scheduling
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