Title
A scalable monitoring approach based on aggregation and refinement
Abstract
Network monitoring is an integral part of any network management system. In order to ensure end-to-end service quality stated in service level agreements (SLAs), managers of a service provider network need to gather quality-of-service (QoS) measurements from multiple nodes in the network. For a large network with over thousands of flows with end-to-end SLAs, the information exchanged between network nodes and a central network management system (NMS) could be substantial. We propose a mechanism called aggregation and refinement based monitoring (ARM) to reduce the amount of information exchange. ARM is a generic mechanism that can be configured to run with different objectives, including threshold-based, rank-based and percentile-based. The mechanism enables the NMS to collect data from network nodes using a dynamic QoS data aggregation/refinement technique, and to process these information differently depending on its measurement objective. Our simulation results show that for these various objectives, the selective refinement process is able to validate SLAs quickly, is an order of magnitude more efficient than a simple polling scheme, and performs well across a wide range of traffic loads
Year
DOI
Venue
2002
10.1109/JSAC.2002.1003035
IEEE Journal on Selected Areas in Communications
Keywords
Field
DocType
Monitoring,Quality of service,Telecommunication traffic,Web and internet services,Quality management,Statistics,Costs,Resource management,Electronic mail
Service level,Computer science,Computer network,Quality of service,Node (networking),Network simulation,Service provider,Network monitoring,Network management station,Scalability
Journal
Volume
Issue
ISSN
20
4
0733-8716
Citations 
PageRank 
References 
14
4.33
12
Authors
2
Name
Order
Citations
PageRank
Yow-Jian Lin127940.18
Mun Choon Chan2113097.54