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Magnet: Practical Subscription Clustering for Internet-Scale Publish/Subscribe
RISE, Swedish ICT, SICS, Computer Systems Laboratory.ORCID iD: 0000-0003-4516-7317
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Number of Authors: 52010 (English)Conference paper, Published paper (Refereed)
Abstract [en]

An effective means for building Internet-scale distributed applications, and in particular those involving group-based information sharing, is to deploy peer-to-peer overlay networks. The key pre-requisite for supporting these types of applications on top of the overlays is efficient distribution of messages to multiple subscribers dispersed across numerous multicast groups. In this paper, we introduce Magnet: a peer-to-peer publish/ subscribe system which achieves efficient message distribution by dynamically organizing peers with similar subscriptions into dissemination structures which preserve locality in the subscription space. Magnet is able to significantly reduce the message propagation costs by taking advantage of subscription correlations present in many large-scale groupbased applications. We evaluate Magnet by comparing its performance against a strawman pub/sub system which does not cluster similar subscriptions by simulation. We find that Magnet outperforms the strawman by a substantial margin on clustered subscription workloads produced using both generative models and real application traces.

Place, publisher, year, edition, pages
2010, 11.
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-23789OAI: oai:DiVA.org:ri-23789DiVA, id: diva2:1042866
Conference
The 4th ACM International Conference on Distributed Event-Based Systems (DEBS)
Projects
NetInfAvailable from: 2016-10-31 Created: 2016-10-31 Last updated: 2023-06-07Bibliographically approved

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fulltext(263 kB)61 downloads
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Type fulltextMimetype application/pdf

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Girdzijauskas, Sarunas

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf