Global computing applications co-ordinate distributed computations across widely-dispersed hosts. Such systems present formidable design and implementation challenges to software developers and synchronisation, scheduling and performance problems come to the fore. Complex systems such as these can benefit from the application of highlevel performance analysis methods founded on timed process algebras. In this paper we compare the use of two such approaches, the PEPA nets and EOS methods, illustrating our presentation with the example of modelling Web services.
|Title of host publication||On-site proceedings of the ICALP Workshop on Stochastic Petri Nets and Related Formalisms|
|Subtitle of host publication||University of Dortmund Research Report number 780|
|Publication status||Published - 1 Jun 2003|