Team for Research in
Ubiquitous Secure Technology

Citation
Venugopalan Ramasubramanian, Ryan Peterson and Emin Gun Sirer. "Corona: A High Performance Publish-Subscribe System for the World Wide Web". In Proceedings of Networked System Design and Implementation, San Jose, California, May, 2006.

Abstract
Despite the abundance of frequently changing information, the Web lacks a publish-subscribe interface for delivering updates to clients. The use of na¨ve polling for detecting updates leads to poor performance and limited scalability as clients do not detect updates quickly and servers face high loads imposed by active polling. This paper describes a novel publish-subscribe system for the Web called Corona, which provides high performance and scalability through optimal resource allocation. Users register interest in Web pages through existing instant messaging services. Corona monitors the subscribedWeb pages, detects updates efciently by allocating polling load among cooperating peers, and disseminates updates quickly to users. Allocation of resources for polling is driven by a distributed optimization engine that achieves the best update performance without exceeding load limits on content servers. Large-scale simulations and measurements from PlanetLab deployment demonstrate that Corona achieves orders of magnitude improvement in update performance at a modest cost.

Electronic downloads

• corona.pdf · application/pdf · 484 kbytes

• HTML

  Venugopalan Ramasubramanian, Ryan Peterson and Emin Gun
  Sirer. <a
  href="http://www.truststc.org/pubs/38.html"
  >Corona: A High Performance Publish-Subscribe System for
  the World Wide Web</a>, In Proceedings of Networked
  System Design and Implementation, San Jose, California, May,
  2006.

• Plain text

  Venugopalan Ramasubramanian, Ryan Peterson and Emin Gun
  Sirer. "Corona: A High Performance Publish-Subscribe
  System for the World Wide Web". In Proceedings of
  Networked System Design and Implementation, San Jose,
  California, May, 2006.

• BibTeX

  @inproceedings{RamasubramanianPetersonSirer06_CoronaHighPerformancePublishSubscribeSystemForWorld,
      author = {Venugopalan Ramasubramanian, Ryan Peterson and
                Emin Gun Sirer},
      title = {Corona: A High Performance Publish-Subscribe
                System for the World Wide Web},
      booktitle = {In Proceedings of Networked System Design and
                Implementation, San Jose, California},
      month = {May},
      year = {2006},
      abstract = {Despite the abundance of frequently changing
                information, the Web lacks a publish-subscribe
                interface for delivering updates to clients. The
                use of na¨ve polling for detecting updates leads
                to poor performance and limited scalability as
                clients do not detect updates quickly and servers
                face high loads imposed by active polling. This
                paper describes a novel publish-subscribe system
                for the Web called Corona, which provides high
                performance and scalability through optimal
                resource allocation. Users register interest in
                Web pages through existing instant messaging
                services. Corona monitors the subscribedWeb pages,
                detects updates efciently by allocating polling
                load among cooperating peers, and disseminates
                updates quickly to users. Allocation of resources
                for polling is driven by a distributed
                optimization engine that achieves the best update
                performance without exceeding load limits on
                content servers. Large-scale simulations and
                measurements from PlanetLab deployment demonstrate
                that Corona achieves orders of magnitude
                improvement in update performance at a modest cost.},
      URL = {http://www.truststc.org/pubs/38.html}
  }
  

Posted by Bill Hogan on 4 Apr 2006.
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