IntelliMon: An intelligent Polling Engine for Network Management

Title:IntelliMon: An intelligent Polling Engine for Network Management

Volume: 10 Issue: 4

Author(s): Ankur Gupta, Purnendu Prabhat*Vijay Kumar

Affiliation:

• Model Institute of Engineering and Technology, Jammu,India

Keywords: Mean-time-to-detect, polling strategies, network management, large network topologies, baselining statistics, network management traffic.

Abstract: Background: Traditional network management solutions suffer from scalability issues and delayed fault reporting when monitoring large network topologies, as described in various patents. IntelliMon is an intelligent polling engine which takes into account network baselining statistics, indicative of the past behavior of the network and utilizes this information to dynamically formulate its polling strategies to achieve faster detection of network faults, while regulating the amount of network management traffic that it generates. This leads to lower Mean-Time-to-Detect (MTTD) for network faults compared to traditional network management solutions, which employ static pre-configured polling strategies.

Method: Network baselining statistics are used to formulate dynamic polling strategies for nodes or areas of the network which are prone to faults.

Results: Early simulation results of up to 5000 node network show that IntelliMon achieves significantly lower MTTD, specifically 14-32% lower than traditional polling engines under different scenarios.

Conclusion: Heuristics combined with hard-statistics derived from network baselining are effective in formulating adaptive polling strategies that are able to detect network faults quicker especially for large topologies.

Cite this article as:

Gupta Ankur , Prabhat Purnendu *, Kumar Vijay , IntelliMon: An intelligent Polling Engine for Network Management, Recent Patents on Computer Science 2017; 10 (4) . https://dx.doi.org/10.2174/2213275910666170907145935