Research Article

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

by  Bidisha Goswami, Snehanshu Saha
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 61 - Issue 6
Published: January 2013
Authors: Bidisha Goswami, Snehanshu Saha
10.5120/9930-4562
PDF

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 },
                        year    = { 2013 },
                        volume  = { 61 },
                        number  = { 6 },
                        pages   = { 6-13 },
                        doi     = { 10.5120/9930-4562 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2013
                        %A Bidisha Goswami
                        %A Snehanshu Saha
                        %T Resource Allocation Modeling in Abstraction using Predator-Prey Dynamics: A Qualitative Analysis%T 
                        %J International Journal of Computer Applications
                        %V 61
                        %N 6
                        %P 6-13
                        %R 10.5120/9930-4562
                        %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
No index terms available.
Keywords

Cloud computing Optimization Multi-agent Predator-prey Dynamics

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