Scalable root cause analysis assisted by classified alarm information model based algorithm

  • Authors:
  • Masanori Miyazawa;Kosuke Nishimura

  • Affiliations:
  • KDDI R&D Laboratories, Inc., Ohara Fujimino City, Saitama Prefecture, JAPAN;KDDI R&D Laboratories, Inc., Ohara Fujimino City, Saitama Prefecture, JAPAN

  • Venue:
  • Proceedings of the 7th International Conference on Network and Services Management
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

One of the important issues for telecom carrier is that the time required to identify the root cause of a failure has increased since the number and types of alarms caused by network or service failures has increased in a fixed-mobile convergence network environment,. To address this issue, this paper proposes a root cause analysis (RCA) mechanism which classifies alarms based on their types of failures, such as resource, performance and service failures, and then promptly identifies the root cause by using a hierarchical alarm information model. Our proposed mechanism which is the implemented into a prototype system was successfully demonstrated in a testbed. Its effectiveness was validated that our RCA mechanism handled 65,000 alarms within 550 seconds in a practical network consisting of 100,000 equipments. The results also show that the algorithm minimizes the overhead of RCA itself to apply large-scale environment, and thus the total RCA performance is limited only by the DB access.