International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 42 - Issue 18 |
Published: March 2012 |
Authors: John P. Sahlin, Shahram Sarkani, Thomas Mazzuchi |
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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
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. "