Exploring autonomic options in an unified fault management architecture through reflex reactions via pulse monitoring

This paper investigates the potential of adding autonomic capabilities to the telecommunications fault management architecture and highlights the importance of a reflex-healing dual strategy to facilitate this advanced automation. The reflex reaction is facilitated through the concept of a pulse monitor - essentially the extension of the fault tolerant heartbeat monitor mechanism to incorporate reflex urgency levels and health check summary information.

[1]  Sandeep Neema,et al.  Modeling and generation tools for large-scale, real-time embedded systems , 2003, 10th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, 2003. Proceedings..

[2]  Gail E. Kaiser,et al.  Retrofitting Autonomic Capabilities onto Legacy Systems , 2006, Cluster Computing.

[3]  M. Sue,et al.  Beacon Monitor Operations on the Deep Space One Mission , 1998 .

[4]  A. Ganek Autonomic computing: implementing the vision , 2003, 2003 Autonomic Computing Workshop.

[5]  Roy Sterritt,et al.  Pulse monitoring: extending the health-check for the autonomic grid , 2003, IEEE International Conference on Industrial Informatics, 2003. INDIN 2003. Proceedings..

[6]  Yoshihiro Tohma Fault tolerance in autonomic computing environment , 2002, 2002 Pacific Rim International Symposium on Dependable Computing, 2002. Proceedings..

[7]  Roy Sterritt,et al.  Autonomic Computing - a means of achieving dependability? , 2003, 10th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, 2003. Proceedings..

[8]  Gail E. Kaiser,et al.  Kinesthetics eXtreme: an external infrastructure for monitoring distributed legacy systems , 2003, 2003 Autonomic Computing Workshop.

[9]  Petr Jan Horn,et al.  Autonomic Computing: IBM's Perspective on the State of Information Technology , 2001 .

[10]  Gregor von Laszewski,et al.  A fault detection service for wide area distributed computations , 2004, Cluster Computing.