2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum (2011)

Anchorage, Alaska USA

May 16, 2011 to May 20, 2011

ISSN: 1530-2075

ISBN: 978-0-7695-4577-6

pp: 1919-1929

L. L. Larmore , Univ. of Nevada, Las Vegas, NV, USA

A. K. Datta , Univ. of Nevada, Las Vegas, NV, USA

B. Depardon , LIP Lab., Univ. of Lyon, Lyon, France

E. Caron , LIP Lab., Univ. of Lyon, Lyon, France

ABSTRACT

Loosely coupled applications can take advantage of the publish/subscribe communication paradigm. In this latter, subscribers declare which events, or which range of events, they wish to monitor, and are asynchronously informed whenever a publishers throws an event. In such a system, when a publication occurs, all peers whose subscriptions contain the publication must be informed. In our approach, the subscriptions are represented by a DR-tree, which is an R-tree where each minimum bounding rectangle is supervised by a peer. Instead of attempting to statically optimize the DR-tree, we give an on-line algorithm, the work function algorithm, which continually changes the DR-tree in response to the sequence of publications, in attempt to dynamically optimize the structure. The competitiveness of this algorithm is computed to be at most 5 for any example where there are at most three subscriptions and the R-tree has height 2. The benefit of the on-line approach is that no prior knowledge of the distribution of publications in the attribute space is needed.

INDEX TERMS

Subscriptions, Peer to peer computing, Heuristic algorithms, Routing, Algorithm design and analysis, Extraterrestrial measurements

CITATION

L. L. Larmore, A. K. Datta, B. Depardon and E. Caron, "On-Line Optimization of Publish/Subscribe Overlays,"

*2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum(IPDPSW)*, Anchorage, Alaska USA, 2011, pp. 1919-1929.

doi:10.1109/IPDPS.2011.356

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