High-level Petri nets: theory and application
High-level Petri nets: theory and application
GreatSPN 1.7: graphical editor and analyzer for timed and stochastic Petri nets
Performance Evaluation - Special issue: performance modeling tools
A symbolic reachability graph for coloured Petri nets
Theoretical Computer Science
On optimistic methods for concurrency control
ACM Transactions on Database Systems (TODS)
Stochastic Well-Formed Colored Nets and Symmetric Modeling Applications
IEEE Transactions on Computers
Generalized Stochastic Petri Nets: A Definition at the Net Level and its Implications
IEEE Transactions on Software Engineering
Freeing Cooperation from Servers Tyranny
Revised Papers from the NETWORKING 2002 Workshops on Web Engineering and Peer-to-Peer Computing
Life-Cycle Inheritance: A Petri-Net-Based Approach
ICATPN '97 Proceedings of the 18th International Conference on Application and Theory of Petri Nets
Well-Defined Generalized Stochastic Petri Nets: A Net-Level Method to Specify Priorities
IEEE Transactions on Software Engineering
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Traditional support tools for software engineers, normally based on a client-server architecture, are unsuitable to deal with the new issues emerging from the current (and future) cooperative work scenarios (where connectivity is intrinsically transient, the number of interacting partners dynamically changes, etc.). This paper presents a quantitative assessment of a fully decentralized, peer-to-peer, cooperative infrastructure. Stochastic Well-Formed Nets (SWNs) modelling the new peer-to-peer architecture, and a traditional (client-server) one, are developed and analysed: we used SWNs for their ability to directly exploit the symmetries intrinsically present in the modelled systems, thus greatly reducing the complexity of the analysis. The main goal is to compare the impact of the two alternative protocols on the collaborative work. Together with the performance figures of interest, methodological issues concerning the choice of the most appropriate model abstraction level, the adoption of a compositional modelling approach, and the management of the model complexity are also discussed.