Agent Based Web Services with RuleML for Network Management

Nair, Mydhili K.; Gopalakrishna, V.

doi:10.1109/netcom.2009.53

Cited by 2 publications

(1 citation statement)

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“…A failure prediction system (FPS) would be considered successful if it exhibits highly accurate predictions, responsiveness levels suitable to real‐time environments, capability for self‐management via self‐configuration and scalability (with respect to increases in network size, component diversity and the complexity of individual components). Intelligent agent‐based network management systems have been developed to explore the possibility of such anticipatory behavior . These approaches predict imminent fault occurrences using a model based on historical network performance.…”

Section: Introductionmentioning

confidence: 99%

Efficient failure prediction in autonomic networks based on trend and frequency analysis of anomalous patterns

et al. 2013

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SUMMARYWe describe an efficient failure prediction system based on new algorithms that model and detect anomalous behaviors using multi-scale trend analysis of multiple network parameters. Our approach enjoys many advantages over prior approaches. By operating at multiple timescales simultaneously, the new system achieves robustness against unreliable, redundant, incomplete and contradictory information. The algorithms employed operate with low time complexity, making the system scalable and feasible in real-time environments. Anomalous behaviors identified by the system can be stored efficiently with low space complexity, making it possible to operate with minimal resource requirements even when processing high-rate streams of network parameter values. The developed algorithms generate accurate failure predictions quickly, and the system can be deployed in sa distributed setting. Prediction quality can be improved by considering larger sets of network parameters, allowing the approach to scale as network complexity increases. The system is validated by experiments that demonstrate its ability to produce accurate failure predictions in an efficient and scalable manner.

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Section: Introductionmentioning

confidence: 99%

Efficient failure prediction in autonomic networks based on trend and frequency analysis of anomalous patterns

et al. 2013

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Applying Web Services with Mobile Agents for Computer Network Management

Nair¹,

Gopalakrishna²

2011

IJCNC

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The exponential rise in complexity of the underlying network elements of a computer network makes its Management an intricate, multifaceted and complex problem to solve. With every passing decade, new technologies are developed to ease this problem of Network Management. The last decade of the premillennium era saw the peak of CORBA and Mobile Agent Based implementations, while the first decade of post millennium saw the emergence of Web Services. All of these technologies evolved as independent, self-contained implementation streams. There is a genuine dearth in finding authentic research outcomes where quantifiable, measureable benefits of convergence of these technologies applied to Network Management are put forth. This paper aims to fill this research gap. Here we put forth the experimental results obtained of a framework we developed in-house for Network Management that combined two seemingly divergent distributed computing technologies, namely, Web Services and Mobile Agents.

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Agent Based Web Services with RuleML for Network Management

Cited by 2 publications

References 10 publications

Efficient failure prediction in autonomic networks based on trend and frequency analysis of anomalous patterns

Efficient failure prediction in autonomic networks based on trend and frequency analysis of anomalous patterns

Applying Web Services with Mobile Agents for Computer Network Management

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