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Network patterns in cfengine and scalable data aggregation
Oslo Univ Coll, Oslo, Norway..
Oslo Univ Coll, Oslo, Norway..
KTH.
2007 (English)In: USENIX ASSOCIATION PROCEEDING OF THE 21ST LARGE INSTALLATION SYSTEMS ADMINISTRATION CONFERENCE, USENIX ASSOC , 2007, p. 275-+Conference paper, Published paper (Refereed)
Abstract [en]

Network patterns are based on generic algorithms that execute on tree-based overlays. A set of such patterns has been developed at KTH to support distributed monitoring in networks with non-trivial topologies. We consider the use of this approach in logical peer networks in cfengine as a way of scaling aggregation of data to large organizations. Use of 'deep' network structures can lead to temporal anomalies. We show how to minimize temporal fragmentation during data aggregation by using time offsets and what effect these choices might have on power consumption. We offer proof of concept for this technology to initiate either multicast or inverse multicast pulses through sensor networks.

Place, publisher, year, edition, pages
USENIX ASSOC , 2007. p. 275-+
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-242374ISI: 000252245900022OAI: oai:DiVA.org:kth-242374DiVA, id: diva2:1288415
Conference
THE 21ST LARGE INSTALLATION SYSTEMS ADMINISTRATION CONFERENCE
Note

QC 20190213

Available from: 2019-02-13 Created: 2019-02-13 Last updated: 2019-02-13Bibliographically approved

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Stadler, Rolf

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