Network fault diagnosis: An artificial immune system approach

Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS

Volumn , Issue , 2008, Pages 463-469

  Yang, Hui ^a,b   Elhadef, Mourad ^b   Nayak, Amiya ^b   Yang, Xiaofan ^a  

^a CHONGQING UNIVERSITY   (China)

^b UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Artificial immune systems; Multiprocessor systems; PMC model; System level fault diagnosis

Indexed keywords

ELECTRIC NETWORK ANALYSIS; IMMUNOLOGY; MULTIPROCESSING SYSTEMS;

ARTIFICIAL IMMUNE SYSTEMS; AVERAGE CASE; DATA ANALYSIS; FAULT DIAGNOSIS; LARGE CLASS; MULTI-MODAL FUNCTION OPTIMIZATIONS; MULTIPROCESSOR SYSTEMS; NETWORK FAULT DIAGNOSIS; PMC MODEL; SYSTEM-LEVEL FAULT DIAGNOSIS;

ERROR DETECTION;

EID: 60649116496     PISSN: 15219097     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPADS.2008.76     Document Type: Conference Paper

References (13)

1. B. Ayeb, Fault identification algorithmic: a new formal approach, In Proc. of the 29th Int. Symp. on Fault-Tolerant Comput. IEEE Comput. Soc. Publ. (1999) 138-145.
2. J. Amaral, R. Tanscheit, and M. Pacheco, An immune inspired fault diagnosis system for analog circuits using wavelet signatures, In Proc. 2004 NASA/DoD Conf. on Evolvable Hardware (EH'04) IEEE Comput. Soc. Publ. (2004) 138-141.
3. L.N.D. Castro and F.J.V. Zuben, Learning and optimization using the clonal selection principle, IEEE Trans. Evolut. Comput., 6(3) (2002) 239-251.
4. A.T. Dahbura, J.J. Laferrera, and L.L. King, A performace study of system-level fault diagnosis algorithms, In Proc. of the 4th Phoenix Conf. on Comput. and Comm., Scott Sdak, AR, USA (1985) 469-473.
5. 2.5) fault identification algorithm for diagnosable systems, IEEE Trans. Comput., C-33(6) (1984) 486-492.
6. D. Dasgupta, K. KrishnaKumar, D. Wong, and M. Berry, Negative selection algorithm for aircraft fault detection, In Proc. of the 3rd Int. Conf. on Artificial Immune Systems (ICARIS) (2004) 1-13.
7. M. Elhadef and B. Ayeb, An evolutionary algorithm for identifying faults in t-diagnosable systems, In Proc. of the 19th IEEE Symp. on Reliable Distrib. Syst. (SRDS-2000), Nürnberg, Germany, Oct. (2000) 74-83.
8. M. Elhadef and D. Coley, Adaptive mutation for semi-separable problems, In Proc. of the Genetic and Evol. Comput. Conf., CA, USA (2001) 306-312.
9. M. Elhadef, S. Das, and A. Nayak, Genetic algorithm for identifying faults in large diagnosable systems, The International Journal of Parallel, Emergent and Distributed Systems, 20(2) (2005) 113-125.
10. Y. Ishida, Active diagnosis by self-organization: an approach by the immune network metaphor, In Proc. of the 15th Int. Joint Conf. on Artificial Intelligence (IJCAI97), Morgan Kaufmann Pub. (1997) 1084-1091.
11. F.P. Preparata, G. Metze, and R.T. Chien, On the connection assignment of diagnosable systems, IEEE Trans. Electron. Comput., EC-16(6), Dec. (1967) 848-854.
12. 3 + |E|) fault identification algorithm for diagnosable systems, IEEE Trans. Comput., 37(4) (1988) 388-397.
13. X. Yang and Y. Tang, Efficient fault identification of diagnosable systems under the comparison model, IEEE Trans. Comput., 56(12) (2007) 1612-1618.