Performance modelling of event-condition-action rules in P2P networks

Papamarkos, G. and Poulovassilis, Alexandra and Wood, Peter T. (2011) Performance modelling of event-condition-action rules in P2P networks. Journal of Computer and System Sciences 77 (4), pp. 621-636. ISSN 0022-0000.

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Official URL: http://dx.doi.org/10.1016/j.jcss.2010.02.004

Abstract

This paper develops an analytical model for exploring the performance of processing Event-Condition-Action (ECA) rules in P2P environments, adopting as the main performance criterion the mean time required to complete all rule processing resulting from a top-level update submitted to one of the peers in the network. We examine the analytical model's predictions of how this time varies with the network topology, number of peers, number of rules and degree of data replication between peers. We also describe a simulation of such a P2P ECA rule processing system, and the experiments with this show good agreement with the analytical predictions. The main contributions of this paper are the analytical model itself, and the results of the performance study undertaken using the model, which have been confirmed by the results from the simulator.

Metadata

Item Type:	Article
Keyword(s) / Subject(s):	Peer-to-peer networks, event-condition-action rules
School:	Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
Research Centres and Institutes:	Innovation Management Research, Birkbeck Centre for, Bioinformatics, Bloomsbury Centre for (Closed), Birkbeck Knowledge Lab
Depositing User:	Administrator
Date Deposited:	02 Feb 2011 11:52
Last Modified:	09 Aug 2023 12:30
URI:	https://eprints.bbk.ac.uk/id/eprint/1903

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