Research Article

Optimizing QoSin Distributed Systems / Cloud Computing Architectures

by  John P. Sahlin, Shahram Sarkani, Thomas Mazzuchi
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 42 - Issue 18
Published: March 2012
Authors: John P. Sahlin, Shahram Sarkani, Thomas Mazzuchi
10.5120/5792-8097
PDF

John P. Sahlin, Shahram Sarkani, Thomas Mazzuchi . Optimizing QoSin Distributed Systems / Cloud Computing Architectures. International Journal of Computer Applications. 42, 18 (March 2012), 14-20. DOI=10.5120/5792-8097

                        @article{ 10.5120/5792-8097,
                        author  = { John P. Sahlin,Shahram Sarkani,Thomas Mazzuchi },
                        title   = { Optimizing QoSin Distributed Systems / Cloud Computing Architectures },
                        journal = { International Journal of Computer Applications },
                        year    = { 2012 },
                        volume  = { 42 },
                        number  = { 18 },
                        pages   = { 14-20 },
                        doi     = { 10.5120/5792-8097 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2012
                        %A John P. Sahlin
                        %A Shahram Sarkani
                        %A Thomas Mazzuchi
                        %T Optimizing QoSin Distributed Systems / Cloud Computing Architectures%T 
                        %J International Journal of Computer Applications
                        %V 42
                        %N 18
                        %P 14-20
                        %R 10.5120/5792-8097
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

The primary challenge of cloud service providers is finding ways to maintain a high degree of Quality of Service (QoS) in a cost-effective manner to ensure either profitability (for business-based cloud service providers) or cost avoidance (for government cloud service providers). The traditional approach to improving system performance is to upgrade the servers and/or network backbone, an expensive undertaking. The authors used OPNET Modeler to represent distributed system architecture supporting a variety of application services and defined a framework for measuring QoS from the end-user's perspective and discovered that there is no direct relationship between server/network upgrades and overall QoS in distributed systems. This framework can be used as a decision support tool for cloud service providers to optimize the QoS of their systems by choosing upgrade strategies that provide the greatest "bang for the buck. "

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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Computernetworks Quality Of Service Modeling And Simulation Computer Performance Distributed Systems

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