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Resource Allocation Modeling in Abstraction using Predator-Prey Dynamics: A Qualitative Analysis

by Bidisha Goswami, Snehanshu Saha
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 61 - Number 6
Year of Publication: 2013
Authors: Bidisha Goswami, Snehanshu Saha
10.5120/9930-4562

Bidisha Goswami, Snehanshu Saha . Resource Allocation Modeling in Abstraction using Predator-Prey Dynamics: A Qualitative Analysis. International Journal of Computer Applications. 61, 6 ( January 2013), 6-13. DOI=10.5120/9930-4562

@article{ 10.5120/9930-4562,
author = { Bidisha Goswami, Snehanshu Saha },
title = { Resource Allocation Modeling in Abstraction using Predator-Prey Dynamics: A Qualitative Analysis },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 61 },
number = { 6 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 6-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume61/number6/9930-4562/ },
doi = { 10.5120/9930-4562 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:08:20.424987+05:30
%A Bidisha Goswami
%A Snehanshu Saha
%T Resource Allocation Modeling in Abstraction using Predator-Prey Dynamics: A Qualitative Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 61
%N 6
%P 6-13
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The complex distributed environment is a major hindrance in the service delivery process as per the customer requirement. Provisioning resources with minimalist conflict and on-demand pay-per-use service has occupied the center stage of service computing in recent times. The paper tries to address the issue of resource provisioning in a dynamic environment by adopting a biologically inspired approach. Using a linear combination of two different models the paper elucidates strategies for allocation of resources in stable and volatile scenarios. Agent technology plays a key role in controlling the parameters for optimized allocation.

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Index Terms

Computer Science
Information Sciences

Keywords

Cloud computing Optimization Multi-agent Predator-prey Dynamics

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