|Title||An empirical investigation of cost-resource optimization for running real-life applications in open source cloud|
|Authors||Imran, A., Gias, A.U. and Sakib, K.|
Open source cloud technology can optimally increase resource utilization and reduce costs in many organizations to support and execute their applications. The extent to which cloud can reduce memory wastage and save costs is an important issue of research. This paper aims to address this issue through the evaluation of an organization's cost-resource benefits by executing real life applications on open source private cloud platform and evaluating the empirical data. The variability in performance of the cloud and traditional systems is shown by defining metrics and provisioning inputs to obtain results. Through the experimentation, memory utilization is seen to increase by 22.16% in the cloud. Direct-indirect cost savings sum up to 40%. The cloud features playing key role to this improved cost-resource performance are revealed.
|Conference||2012 International Conference on High Performance Computing & Simulation (HPCS)|
|Published||16 Aug 2012|
|Journal||Proceedings of the 2012 International Conference on High Performance Computing and Simulation, HPCS 2012|
|Digital Object Identifier (DOI)||https://doi.org/10.1109/HPCSim.2012.6267002|
|Web address (URL)||http://www.scopus.com/inward/record.url?eid=2-s2.0-84866997220&partnerID=MN8TOARS|