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Information flow based event distribution middleware

by: G. Banavar, M. Kaplan, K. Shaw, R.E. Strom, D.C. Sturman, and Wei Tao

In: Electronic Commerce and Web-based Applications/Middleware, 1999. Proceedings. 19th IEEE International Conference on Distributed Computing Systems Workshops on (1999) , p. 114-121.

Abstract

Event distribution middleware supports the integration of distributed applications by accepting events from information producers and disseminating applicable events to interested consumers. We present a flexible new model, the Information Flow Graph IFG, for specifying the flow of information in such a system. We illustrate the use of the IFG for: content-based publish/subscribe; stateless event transformations that consolidate events from diverse sources; and stateful event interpretation functions for deriving trends, summaries, and alarms from published events and for defining equivalent event sequences. We introduce two techniques for efficient implementation of such systems: a flow graph rewriting optimization which allows stateless IFGs to be converted to a form which can exploit efficient multicast technology developed for content-based publish/subscribe system; and an algorithm for converting a sequence of events to the shortest equivalent sequence of events with respect to an event interpretation function

BibTeX record

@inproceedings{Bana99,
  abstract = {Event distribution middleware supports the integration of
distributed applications by accepting events from information producers
and disseminating applicable events to interested consumers. We present
a flexible new model, the Information Flow Graph (IFG), for specifying
the flow of information in such a system. We illustrate the use of the
IFG for: content-based publish/subscribe; stateless event
transformations that consolidate events from diverse sources; and
stateful event interpretation functions for deriving trends, summaries,
and alarms from published events and for defining equivalent event
sequences. We introduce two techniques for efficient implementation of
such systems: a flow graph rewriting optimization which allows stateless
IFGs to be converted to a form which can exploit efficient multicast
technology developed for content-based publish/subscribe system; and an
algorithm for converting a sequence of events to the shortest equivalent
sequence of events with respect to an event interpretation
function},
  added-at = {2009-04-06T15:31:39.000+0200},
  author = {Banavar, G. and Kaplan, M. and Shaw, K. and Strom, R.E. and Sturman, D.C. and Tao, Wei},
  biburl = {http://www.bibsonomy.org/bibtex/28cecdfa97917906efcab7da1ac347460/boehr},
  doi = {10.1109/ECMDD.1999.776424},
  interhash = {f35238d540f5c9817d3f0dd3ec44d8d2},
  intrahash = {8cecdfa97917906efcab7da1ac347460},
  journal = {Electronic Commerce and Web-based Applications/Middleware, 1999. Proceedings. 19th IEEE International Conference on Distributed Computing Systems Workshops on},
  keywords = {feed flow flowgraph modelling pub-sub},
  pages = {114-121},
  timestamp = {2009-04-06T15:31:39.000+0200},
  title = {Information flow based event distribution middleware},
  year = 1999
}

Endnote record

%0 Conference Paper
%1 Bana99
%A Banavar, G.
%A Kaplan, M.
%A Shaw, K.
%A Strom, R.E.
%A Sturman, D.C.
%A Tao, Wei
%D 1999
%J Electronic Commerce and Web-based Applications/Middleware, 1999. Proceedings. 19th IEEE International Conference on Distributed Computing Systems Workshops on
%K 
%P 114-121
%T Information flow based event distribution middleware
%R 10.1109/ECMDD.1999.776424
%X Event distribution middleware supports the integration of
distributed applications by accepting events from information producers
and disseminating applicable events to interested consumers. We present
a flexible new model, the Information Flow Graph (IFG), for specifying
the flow of information in such a system. We illustrate the use of the
IFG for: content-based publish/subscribe; stateless event
transformations that consolidate events from diverse sources; and
stateful event interpretation functions for deriving trends, summaries,
and alarms from published events and for defining equivalent event
sequences. We introduce two techniques for efficient implementation of
such systems: a flow graph rewriting optimization which allows stateless
IFGs to be converted to a form which can exploit efficient multicast
technology developed for content-based publish/subscribe system; and an
algorithm for converting a sequence of events to the shortest equivalent
sequence of events with respect to an event interpretation
function