AHSEN: autonomic healing-based self management engine for network management in hybrid networks

  • Authors:
  • Junaid Ahsenali Chaudhry;Seungkyu Park

  • Affiliations:
  • Graduate School of Information and Communication, Ajou University, Suwon, Korea;Graduate School of Information and Communication, Ajou University, Suwon, Korea

  • Venue:
  • GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
  • Year:
  • 2007

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Abstract

In this paper, we present a novel self-healing engine for autonomic network management. A light weight Self Management Frame (SMF) performs monitoring and optimization functions autonomously and the other self management functions, driven by context, are invoked on demand from the server. The policies are maintained to calculate the trust factor for network entities and those trust factors will be used at the later stages of our project to enforce resource utilization policies. The plug-ins, residing at the server, are used to perform the on-demand management functions not performed by SMF at client side. A Simple Network Management Protocol (SNMP) based monitoring agent is applied that also triggers the local management entities and passes the exceptions to the server which determines the appropriate plug-in. Considering the amount of resources being put into current day management functions and contemporary autonomic management architectures our findings show improvement in certain areas that can go a long way to improve the network performance and resilience.