Filtering and Scalability in the ECO Distributed Event Model

Mads Haahr, Rene Meier, Paddy Nixon, Vinny Cahill, Eric Jul

Research output: A Conference proceeding or a Chapter in BookConference contribution

18 Citations (Scopus)

Abstract

Event-based communication is useful in many application domains, ranging from small centralised applications to large distributed systems. Many different event models have been developed to address the requirements of different application domains. One such model is the ECO (events, constraints, objects) model, which was designed to support distributed virtual world applications. Like many other event models, ECO has event-filtering capabilities that are meant to improve scalability by decreasing the network traffic in a distributed implementation. Our recent work in event-based systems has included building a fully-distributed version of the ECO model, including event-filtering capabilities. This paper describes the results of our evaluation of filters as a means of achieving increased scalability in the ECO model. The evaluation is empirical, and real data gathered from an actual event-based system is used. The findings show that: (i) filters are highly valuable in making distributed implementations of the model scale, (ii) multicasting contributes to the scalability and, perhaps most significantly, (iii) multicast groups can be dynamically generated from filters using local (per-node) knowledge rather than global knowledge of the distributed application
Original languageEnglish
Title of host publicationInternational Symposium on Software Engineering for Parallel and Distributed Systems
Place of PublicationUnited Kingdom
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-13
Number of pages13
ISBN (Print)0769506348
DOIs
Publication statusPublished - 2000
Externally publishedYes
EventInternational Symposium on Software Engineering for Parallel and Distributed Systems - Limerick, Limerick, Ireland
Duration: 10 Jun 200011 Jun 2000

Conference

ConferenceInternational Symposium on Software Engineering for Parallel and Distributed Systems
CountryIreland
CityLimerick
Period10/06/0011/06/00

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  • Cite this

    Haahr, M., Meier, R., Nixon, P., Cahill, V., & Jul, E. (2000). Filtering and Scalability in the ECO Distributed Event Model. In International Symposium on Software Engineering for Parallel and Distributed Systems (pp. 1-13). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/PDSE.2000.847853