Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1093/comjnl/bxp058 | Comput. J. |
Keywords | Field | DocType |
network management | Mobile ad hoc network,Organizational network analysis,Computer science,Computer network,Network monitoring,Network management,Network management application,Network management station,Distributed computing | Journal |
Volume | Issue | ISSN |
53 | 5 | 0010-4620 |
Citations | PageRank | References |
1 | 0.40 | 12 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dinesh C. Verma | 1 | 176 | 42.63 |
| Bongjun Ko | 2 | 268 | 21.18 |
| Petros Zerfos | 3 | 959 | 67.88 |
| Kang-Won Lee | 4 | 400 | 26.74 |
| Ting He | 5 | 716 | 44.82 |
| Matthew Duggan | 6 | 1 | 0.40 |
| Kristian Stewart | 7 | 1 | 0.40 |
| Swami, A. | 8 | 5105 | 566.62 |
| Nikoletta Sofra | 9 | 30 | 3.09 |