A GSPN Model to Analyze Performance Parameters in gLite Grids

Author

Bruneo, Dario ; Scarpa, Marco ; Puliafito, Antonio

Author_Institution

Dipt. di Mat. Salita Sperone -, Univ. di Messina, Messina

fYear

2008

fDate

23-25 June 2008

Firstpage

198

Lastpage

203

Abstract

In the last few years grid computing 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 SLAs between customers and provider. 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 will present a cluster-level model of a typical gLite site taking into account the coexistence between normal and MPI-based jobs.We will 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.

Keywords

Petri nets; grid computing; message passing; middleware; quality of service; stochastic processes; workstation clusters; MPI-based job; QoS requirement; business-innovating technology; cluster-level model; gLite grid computing; generalized stochastic Petri nets; performance parameter analysis; service level agreement; Collaborative work; Computer interfaces; Electronic mail; Grid computing; Load management; Middleware; Performance analysis; Petri nets; Resource management; System performance; Generalized Stochastic Petri Nets; Grid computing; MPI-based jobs; Performance measurements; gLite middleware;

fLanguage

English

Publisher

ieee

Conference_Titel

Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2008. WETICE '08. IEEE 17th

Conference_Location

Rome

ISSN

1524-4547

Print_ISBN

978-0-7695-3315-5

Type

conf

DOI

10.1109/WETICE.2008.39

Filename

4806918