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Decentralized service-level monitoring using network threshold crossing alerts
KTH, School of Electrical Engineering (EES), Communication Networks.
KTH, School of Information and Communication Technology (ICT), Microelectronics and Information Technology, IMIT.
2006 (English)In: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 44, no 10, 70-76 p.Article in journal (Refereed) Published
Abstract [en]

Service level agreements are at the core of the business relationship between service providers and their customers. Service level monitoring is necessary to validate and ensure that service levels are indeed adhered to. One key tool for this is threshold crossing alerts. TCAs can notify a service provider that a certain parameter has exceeded a certain threshold value, directing attention to those areas where preventive action needs to be taken. This article presents a protocol and an architecture that implements a new category of TCAs for parameters that need to be aggregated across a network, as opposed to parameters that can be observed from a single device; for example, "average utilization across all links in a network" as opposed to "utilization of a particular link." Although highly useful, such parameters are rarely subjected to SLAs today, due to the lack of effective monitoring technology. Our system fills this gap. It does so in a manner that is decentralized inside the network and does not rely on a more traditional centralized management architecture. We focus on business application aspects, as well as the robustness and accuracy properties of our system.

Place, publisher, year, edition, pages
2006. Vol. 44, no 10, 70-76 p.
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-16042DOI: 10.1109/MCOM.2006.1710415ISI: 000241126900006Scopus ID: 2-s2.0-33750599056OAI: oai:DiVA.org:kth-16042DiVA: diva2:334084
Note
QC 20100525Available from: 2010-08-05 Created: 2010-08-05 Last updated: 2017-12-12Bibliographically approved
In thesis
1. Real-Time Monitoring of Global Variables in Large-Scale Dynamic Systems
Open this publication in new window or tab >>Real-Time Monitoring of Global Variables in Large-Scale Dynamic Systems
2007 (English)Licentiate thesis, comprehensive summary (Other scientific)
Abstract [en]

Large-scale dynamic systems, such as the Internet, as well as emerging peer-to-peer networks and computational grids, require a high level of awareness of the system state in real-time for proper and reliable operation. A key challenge is to develop monitoring functions that are efficient, scalable, robust and controllable. The thesis addresses this challenge by focusing on engineering protocols for distributed monitoring of global state variables. The global variables are network-wide aggregates, computed from local device variables using aggregation functions such as SUM, MAX, AVERAGE, etc. Furthermore, it addresses the problem of detecting threshold crossing of such aggregates. The design goals for the protocols are efficiency, quality, scalability, robustness and controllability. The work presented in this thesis has resulted in two novel protocols: a gossip-based protocol for continuous monitoring of aggregates called G-GAP, and a tree-based protocol for detecting thresh old crossings of aggregates called TCA-GAP. The protocols have been evaluated against the design goals through three complementing evaluation methods: theoretical analysis, simulation study and testbed implementation.

Place, publisher, year, edition, pages
Stockholm: KTH, 2007. 107 p.
Series
Trita-EE, ISSN 1653-5146 ; 2007:065
National Category
Telecommunications
Identifiers
urn:nbn:se:kth:diva-4646 (URN)978-91-7178-774-3 (ISBN)
Presentation
2007-12-04, Q22, KTH, Osquldas väg 6, Stockholm, 10:00
Opponent
Supervisors
Note
QC 20101122Available from: 2008-02-27 Created: 2008-02-27 Last updated: 2010-11-22Bibliographically approved

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Citation style
  • apa
  • harvard1
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Language
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Output format
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