Edge-to-edge measurement-based distributed network monitoring
Computer Networks: The International Journal of Computer and Telecommunications Networking
Bandwidth provisioning and pricing for networks with multiple classes of service
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Internet economics: Pricing and policies
Monitoring and controlling QoS network domains
International Journal of Network Management
Accurate and efficient SLA compliance monitoring
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
Packet doppler: network monitoring using packet shift detection
CoNEXT '08 Proceedings of the 2008 ACM CoNEXT Conference
Incentive pricing for optimal provisioning of service class promotion with network
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Multiobjective monitoring for SLA compliance
IEEE/ACM Transactions on Networking (TON)
On detecting service violations and bandwidth theft in QoS network domains
Computer Communications
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In order to detect violations of end-to-end service level agreements (SLA) and to isolate trouble links and nodes based on a unified framework, managers of a service provider network need to gather quality of service (QoS) measurements from multiple nodes in the network. For a network carrying 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. Moreover in situations where only, a small number of flows violate their respective SLAs, simple polling mechanisms can lead to huge unnecessary overhead in identifying these ill-behaved flows. We propose an algorithm called (ARM) (Aggregation and Refinement based Monitoring) to reduce the amount of information exchange. (ARM) uses a histogram-based dynamic QoS data aggregation/refinement technique at each network node and a reasoning engine at the NMS to minimized the amount of data exchange between network nodes and NMS. (ARM) not only reduces unnecessary reporting through selective refinement, it also performs well across a wide range of traffic loads. Our simulation results show that (ARM) is at least an order of magnitude more efficient than a simple polling scheme. It also outperforms two centralized highly optimized schemes that cannot be implemented in practice.