Resource Allocation in Grid Computing Environment: A Trust Aware Approach

2007 ◽  
Vol 3 (6) ◽  
pp. 89-102
Author(s):  
Kamal Kumar ◽  
R. B. Patel
Keyword(s):  
Resource Allocation ◽  
Grid Computing ◽  
Computing Environment

scholarly journals An Improved Resource Allocation Model for Grid Computing Environment

2019 ◽  
Vol 12 (1) ◽  
pp. 104-113
Author(s):  
Anju Shukla ◽  
◽  
Shishir Kumar ◽  
Harikesh Singh ◽  
◽  
...  
Keyword(s):  
Resource Allocation ◽  
Grid Computing ◽  
Computing Environment ◽  
Allocation Model ◽  
Resource Allocation Model

Resource Allocation in Grid Computing Environment Using Genetic–Auction Based Algorithm

2018 ◽  
Vol 10 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Kuppani Satish ◽  
A. Rama Mohan Reddy
Keyword(s):  
Genetic Algorithm ◽  
Resource Allocation ◽  
Grid Computing ◽  
Genetic Approach ◽  
Simulation Environment ◽  
Computing Environment ◽  
Cost Constraints ◽  
Proposed Model ◽  
Core Functionality ◽  
Made In

The main core functionality of Grid Computing is resource allocation and scheduling. With the idea of genetic algorithms and microeconomics, it is proposed a Resource allocation method called a genetic-auction based algorithm [GAAB]. This algorithm contains two modules, auction module and genetic approach. Auction module find outs resource-trading price between resource provider and resource buyer, and the resource allocation carried out by Genetic algorithm by considering both time and cost constraints simultaneously. In this article, evaluations are made in the simulation environment and the results show the effectiveness of the proposed model.

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