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Proceedings ArticleDOI

Performance failure detection and path computation

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TLDR
The notion is to detect such performance failure and provide a path that satisfies the QoS constraints without hampering the service provided to the end user.
Abstract
When dealing with the reliability of a network, it is important to maintain the network components physically connected. When all the components are connected but then also the end user is not getting the service, this means that there is performance degradation. Such performance failure of a network occurs due to the imbalance of QoS parameters such as delay, jitters, throughput, etc. It is important to detect such failure and find the counter measures for it. A service-level agreement (SLA) is an agreement between two or more parties, where one is the customer and the others are service providers. Every service provider provides certain service contract or SLA to the customer that defines all the aspects of the service in terms of scope, quality, and responsibilities. The deterioration of SLA can also lead to performance failure. In a network, all the services should offer QoS guaranties that are resilient to failure too. The QoS connection requires that the existing routing mechanism should compute a path that satisfies QoS constraints. If all nodes and links are working fine but the performance of a network degrades, then too it is a network failure. Such type of failure is called as performance failure. Performance failure can be caused due to congestion, insufficient bandwidth, large delay in packet transmission, etc. These factors must be taken into account while detecting the network failure. Our notion is to detect such performance failure and provide a path that satisfies the QoS constraints without hampering the service provided to the end user.

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Citations
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Implementation and testing of Cisco IP SLA in smart grid environments

TL;DR: Use of the IP SLA for monitoring network state and collecting important information for potential problem detection and solving within the smart grid network environment and its testing are analyzed.
References
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Journal ArticleDOI

An overview of quality of service routing for next-generation high-speed networks: problems and solutions

TL;DR: An overview of the QoS routing problem as well as the existing solutions is given, the strengths and weaknesses of different routing strategies, and the challenges are outlined.
Proceedings ArticleDOI

Multi-constrained optimal path selection

TL;DR: This work proposes an efficient heuristic algorithm, H MCOP, which attempts to minimize both the nonlinear cost function and the primary cost function for the feasibility part and the optimality part of the problem, and proves that HMCOP guarantees at least the performance of GLA and often improves upon it.
Journal ArticleDOI

Algebra and algorithms for QoS path computation and hop-by-hop routing in the Internet

TL;DR: It is concluded that shortest-widest paths can neither be computed with a generalized Dijkstra's algorithm nor can packets be routed hop-by-hop over those paths.
Proceedings ArticleDOI

Bandwidth-delay based routing algorithms

TL;DR: Two new routing algorithms based on bandwidth and delay metrics are presented and some of their important properties are investigated and their implications on path computation are examined.
Proceedings ArticleDOI

Algebra and algorithms for QoS path computation and hop-by-hop routing in the Internet

TL;DR: It is concluded that shortest-widest paths can neither be computed with a generalized Dijkstra's algorithm nor can packets be routed hop-by-hop over those paths.
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