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Performance Evaluation of a Distributed and Probabilistic Network Monitoring Approach
RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.ORCID iD: 0000-0002-5893-7774
RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.ORCID iD: 0000-0001-8952-3542
2012 (English)Conference paper, Published paper (Refereed)
Abstract [en]

We investigate the effects of employing a proba- bilistic fault detection approach relative the performance of a deterministic network monitoring method. The approach has its foundation in probabilistic network management, in which performance limits and thresholds are specified in terms of e.g. probabilities or belief values. When combined with adap- tive mechanisms, probabilistic approaches can potentially offer improved controllability, adaptivity and reliability, compared to deterministic monitoring methods. Results from synthetically generated and real network QoS measurements indicate that the probabilistic approach generally can perform at least as good as a deterministic algorithm, with a higher degree of predictable performance and resource-efficiency. Due to the stochastic nature of the algorithm, worse performance than expected is sometimes observed. Nevertheless, the results give additional support to some of the practical benefits expected in using probabilistic approaches for network management purposes.

Place, publisher, year, edition, pages
2012, 8.
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-24053OAI: oai:DiVA.org:ri-24053DiVA, id: diva2:1043132
Conference
International Conference on Network and Service Management
Projects
SAILprobmanAvailable from: 2016-10-31 Created: 2016-10-31 Last updated: 2018-08-17Bibliographically approved

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Steinert, RebeccaGillblad, Daniel

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