Understanding the quality of monitoring for network management

Dinesh Verma; Bong Jun Ko; Petros Zerfos; Kang Won Lee; Ting He; Matthew Duggan; Kristian Stewart; Ananthram Swami; Nikoletta Sofra

doi:10.1093/comjnl/bxp058

Understanding the quality of monitoring for network management

Dinesh Verma, Bong Jun Ko, Petros Zerfos, Kang Won Lee, Ting He, Matthew Duggan, Kristian Stewart, Ananthram Swami, Nikoletta Sofra

Computer Science and Engineering

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

The vitality and utility of a network are affected significantly by the network management system (NMS) that is used to administer and monitor the network. However, models that can characterize the quality of a NMS are generally missing in the literature. In this paper, we introduce the concept of quality of monitoring (QoM), provide a mathematical formulation based on stochastic processes that can be used to model a network monitoring system and define QoM metrics based on this formulation. A formal analysis of the proposed framework along various metrics is also provided, along with a case study of its application to network monitoring in a mobile ad hoc network.

Original language	English (US)
Pages (from-to)	541-550
Number of pages	10
Journal	Computer Journal
Volume	53
Issue number	5
DOIs	https://doi.org/10.1093/comjnl/bxp058
State	Published - Jun 2010

All Science Journal Classification (ASJC) codes

Computer Science(all)

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10.1093/comjnl/bxp058

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title = "Understanding the quality of monitoring for network management",

abstract = "The vitality and utility of a network are affected significantly by the network management system (NMS) that is used to administer and monitor the network. However, models that can characterize the quality of a NMS are generally missing in the literature. In this paper, we introduce the concept of quality of monitoring (QoM), provide a mathematical formulation based on stochastic processes that can be used to model a network monitoring system and define QoM metrics based on this formulation. A formal analysis of the proposed framework along various metrics is also provided, along with a case study of its application to network monitoring in a mobile ad hoc network.",

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AU - Verma, Dinesh

AU - Ko, Bong Jun

AU - Zerfos, Petros

AU - Lee, Kang Won

AU - He, Ting

AU - Duggan, Matthew

AU - Stewart, Kristian

AU - Swami, Ananthram

AU - Sofra, Nikoletta

PY - 2010/6

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AB - The vitality and utility of a network are affected significantly by the network management system (NMS) that is used to administer and monitor the network. However, models that can characterize the quality of a NMS are generally missing in the literature. In this paper, we introduce the concept of quality of monitoring (QoM), provide a mathematical formulation based on stochastic processes that can be used to model a network monitoring system and define QoM metrics based on this formulation. A formal analysis of the proposed framework along various metrics is also provided, along with a case study of its application to network monitoring in a mobile ad hoc network.

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Understanding the quality of monitoring for network management

Abstract

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