Issue No. 11 - November (2010 vol. 21)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TPDS.2010.35
Dario Bruneo , University of Messina, Messina
Marco Scarpa , University of Messina, Messina
Antonio Puliafito , University of Messina, Messina
Grid Computing supports the shared and coordinated use of several resources in dynamic Virtual Organizations. In the last few years, it is evolving into a business-innovating technology that is driving commercial adoption. Such a new scenario calls for powerful strategies able to guarantee stringent QoS requirements in order to meet Service Level Agreements (SLAs) between customers and providers. For this reason, it is necessary to analyze and predict performance with respect to different load conditions or management strategies. In this paper, we present a methodology to analyze performance in gLite Grids through the use of Generalized Stochastic Petri Nets (GSPNs). We introduce a cluster-level model of a typical gLite site taking into account the coexistence between normal and MPI-based jobs. We investigate the influence of different strategies (e.g., scheduling) on the performance of the whole site, highlighting aspects related to both customer and provider point of views. We also provide a business-oriented performance analysis introducing two different SLA typologies and highlighting how the site configuration may influence the expected profit of the service provider.
Grid computing, gLite middleware, MPI-based jobs, generalized stochastic petri nets, performance measurements, service level agreement.
D. Bruneo, A. Puliafito and M. Scarpa, "Performance Evaluation of gLite Grids through GSPNs," in IEEE Transactions on Parallel & Distributed Systems, vol. 21, no. , pp. 1611-1625, 2010.