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Special interest messaging: A Comparison of IGM Approaches

Cutting, Daniel; Quigley, Aaron and Landfeldt, Björn LU (2007) In Computer Journal 53(1). p.50-68
Abstract
Hundreds of technical, special interest Internet weblogs are already generating thousands of niche articles worldwide, and many institutions are starting to create internal blogs for team collaboration. As this style of communication becomes more pervasive in the lives of employees and researchers, the difficulty of finding relevant information only grows with the number of authors and articles. To reduce the load, we propose using implicit group messaging (IGM) to automatically deliver relevant content to readers grouped by shared characteristics or interests. In this paper, we outline a context-aware application suited to special interest messaging and describe three alternative delivery models including our peer-to-peer (P2P) design... (More)
Hundreds of technical, special interest Internet weblogs are already generating thousands of niche articles worldwide, and many institutions are starting to create internal blogs for team collaboration. As this style of communication becomes more pervasive in the lives of employees and researchers, the difficulty of finding relevant information only grows with the number of authors and articles. To reduce the load, we propose using implicit group messaging (IGM) to automatically deliver relevant content to readers grouped by shared characteristics or interests. In this paper, we outline a context-aware application suited to special interest messaging and describe three alternative delivery models including our peer-to-peer (P2P) design called SPICE and a broker-based design. We investigate the advantages and disadvantages of each approach through detailed simulations driven by realistic data and actual national/global network topologies. We find that although a broker-based design is generally the most network efficient and lowest latency, a structured P2P system can offer exceptionally low and fair loading across peers and network links without relying on specialized broker nodes. (Less)
Please use this url to cite or link to this publication:
author
publishing date
type
Contribution to journal
publication status
published
subject
in
Computer Journal
volume
53
issue
1
pages
50 - 68
publisher
Oxford University Press
external identifiers
  • scopus:77749258177
ISSN
1460-2067
DOI
10.1093/comjnl/bxm076
language
English
LU publication?
no
id
c79d82d7-b662-44ed-be98-9feedb9cb296 (old id 3173093)
date added to LUP
2012-11-19 15:07:33
date last changed
2017-01-01 04:20:40
@article{c79d82d7-b662-44ed-be98-9feedb9cb296,
  abstract     = {Hundreds of technical, special interest Internet weblogs are already generating thousands of niche articles worldwide, and many institutions are starting to create internal blogs for team collaboration. As this style of communication becomes more pervasive in the lives of employees and researchers, the difficulty of finding relevant information only grows with the number of authors and articles. To reduce the load, we propose using implicit group messaging (IGM) to automatically deliver relevant content to readers grouped by shared characteristics or interests. In this paper, we outline a context-aware application suited to special interest messaging and describe three alternative delivery models including our peer-to-peer (P2P) design called SPICE and a broker-based design. We investigate the advantages and disadvantages of each approach through detailed simulations driven by realistic data and actual national/global network topologies. We find that although a broker-based design is generally the most network efficient and lowest latency, a structured P2P system can offer exceptionally low and fair loading across peers and network links without relying on specialized broker nodes.},
  author       = {Cutting, Daniel and Quigley, Aaron and Landfeldt, Björn},
  issn         = {1460-2067},
  language     = {eng},
  number       = {1},
  pages        = {50--68},
  publisher    = {Oxford University Press},
  series       = {Computer Journal},
  title        = {Special interest messaging: A Comparison of IGM Approaches},
  url          = {http://dx.doi.org/10.1093/comjnl/bxm076},
  volume       = {53},
  year         = {2007},
}