Call availability prediction in a telecommunication system: A data driven empirical approach

Proceedings of the IEEE Symposium on Reliable Distributed Systems

Volumn , Issue , 2006, Pages 83-95

  Hoffmann, Guenther ^a   Malek, Miroslaw ^a  

^a HUMBOLDT UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AVAILABILITY PREDICTION; NONLINEAR MODELING TECHNIQUE; SYSTEM FAILURES;

AVAILABILITY; COMPUTER SYSTEM RECOVERY; COST BENEFIT ANALYSIS; INFORMATION MANAGEMENT; NONLINEAR ANALYSIS; PREVENTIVE MAINTENANCE;

TELECOMMUNICATION SYSTEMS;

EID: 38949177028     PISSN: 10609857     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SRDS.2006.12     Document Type: Conference Paper

References (38)

1. Avizienis A. An Experimental Self-Repairing Computer. NASA-TR-32-13S6, Jet Propulsion Laboratory, Pasadena, CA , p. E30, 1968
2. Pfening A., Garg S., Puliafito A., Telek M., Trivedi K. Optimal rejuvenation for tolerating soft failures. Performance Evaluation, Vol. 27 & 28, pp. 491-506, 1996
3. Aschcr, H.E. Lin, T.-T.Y. Siewiorek, D.P.. Modification of: error log analysis: statistical modeling and heuristic trend analysis. IEEE Transactions on Reliability, Vol. 41(4), 1992
4. Bev Littlewood , Lorenzo Strigini,. Software reliability and dependability: a roadmap. Proceedings of the conference on The future of Software engineering, p. 175-188, Limerick, Ireland, 2000
5. Bobbio, Garg, Gribaudo, Horvath, Sereno, Telek. Modeling Software Systems with rejuvenation, restoration and checkpointing through fluid petri nets. Proc. 8th Int. Workshop on Petri Net and Performance Models (PNPM'99), Zaragoza, Spain, pp. 82-91, 1999
6. Cortes C. and V. N. Vapnik. Support vector networks. Machine Learning, 20: 273-297, 1995
7. Dyn Nira, Levin David. Iterative Solutions of systems originating from integral equations and surface interpolation. Siam J. of Numer. Anal. 20(2), 1983
8. Ozalp Babaoglu, Mark Jelasity, Alberto Montresor, Christof Fetzer, Maarten van Steen, Aad van Moorsel, Stefano Leonarda (Eds.), Self-Star Properties in Complex Information Systems. Proceedings of the International Workshop on Self-Star Systems, Bertinoro (Forli), Italy, May-June, 2004
9. Edsger Wybe Dijkstra. Notes On Structured Programming. Technical Report 70-WSK-03, Technological University Eindhoven, Department of Mathematics (http://www.cs.utexas.edu/uscrs/EWD/cwd02xx/EWD24 9.PDF), 1970
10. Efron B., Tibshirani R.. An Introduction to the Bootstrap. Monographs on statistics and applied probability 57, Chapman & Mall, 1993
11. Garg S., Y. Huang, C. Kintala and K. S. Trivedi. Time, and Load Based Software Rejuvenation: Policy, Evaluation and Optimality. First Fault Tolerance Symposium, FTS-95, 1995
12. Geman. S., Bienenstock, E. and Doursat, R.. Neural Networks and the Bias/Variance Dilemma. Neural Computation, 4, pp. 1-58, 1992
13. Girosi Federico, Jones Michael, Poggio Tomaso. Regularizai ion Theory and Neural Networks. MIT Cambridge, AI Memo 1430, 1993
14. Gray J.. A census of Tandem system availability between 1985 and 1990. IEEE Transactions on reliability 39(4), 1990
15. Hastie T., Tibshirani R.. Discriminant adaptive nearest neighbor classification. IEEE PAMI 18, pp. 607-616, 1996
16. Hertz J., Krogh P., Palmer R.. Introduction m the Theory of Neural Computation. A Lecture Notes Volume in the Santa Fe Institute Studies of Complexity, Vol. 1, 1991
17. Hochreiter Sepp, Obermayer Klaus, Isabelle Guyon, Steve Gunn, Masoud Nikrav. Nonlinear Feature Selection with the Potential Support Vector Machine. Feature extraction, Foundations and Applications, Springer, 2004
18. Hoffmann G. A.. Failure Prediction in Complex Computing Systems: A Probabilistic Approach. Dissertation at Humboldt University Berlin, ROK Group, 2005
19. Horn, P.. Autonomic Computing: IBM's perspective on the state of Information Technology. IBM Research Report, 2001
20. Huang Y., C. Kintala, N. Kolettis and N. Fulton. Software Rejuvenation: Analysis, Module and Applications. In Proc. of the 25th IEEE Intl. Symp. on Fault Tolerant Computing (FTCS-25), Pasadena, CA, 1995
21. Huber P. J.. Data Analys'is and Projection Pursuit - A Tutorial Introduction. Dept. of Mathematics, MIT Boston, 1990
22. Hutchinson James M.. A Radial Basis Function Approach to Financial Time Series Analysis. Dissertation, Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994
23. Joao F. O. de Freitas. Bayesian Methods for Neural Networks. Trinity College, University of Cambridge and Cambridge University Engineering Department, PhD Thesis, 1999
24. M. J. D. Powell. Radial basis functions for multivariable interpolation: A review.. J. C. Mason and M. O. Cox, editors, Algorithms for Approximation of Functions and Data, pp. 143-167,1987
25. Miroslaw Malek, Felix Saliner, Günther Hoftmann. Self-Rejuvenation - an Effective Way to High Availability. SELF-STAR: International Workshop on Self-* Properties in Complex Information Systems, Bertinoro, Italy, 2004
26. Peitgen, H., Jurgens, H., Saupe, D. Lyapunov exponents and chaotic attractors in Choas and fractals - new frontiers of science. Springer, New York, 1992
27. Poggio T., Girosi F.. A Theory of Networks for Approximation and Learning. Proc. of IEEE 78(9), 1990
28. Prior, A. N. Past, Present and Future. Oxford: Clarendon Press, 1967
29. R. Milner. Communication and Concurrency. Prentice Hall, 1989
30. Rabiner L. R.. A Tutorial on Hidden Markov Models. Proc. of IEEE, Vol.77, No.2, 1989
31. Rumelhart, Hinton, Williams, Learning internal representation by error propagation. In Rumelhart, McCleland eds. Parallel Distributed Processing Volume I, MIT Press, 1986
32. Saliner F., Tschirpke S., Malek M.. Comprehensive Logfiles for Autonomic Systems. IEEE Proceedings of IPDPS 2004 (International Parallel and Distributed Processing Symposium), 2004
33. Salfner, F. and Hoffmann, G.A. and Matek, M.. Prediction-based Software Availability Enhancement. Self-Star Properties in Complex Information Systems; Editors: O. Babaogtu, M. Jelasity, A. Montresor, C. Fetzer, S. Leonardi, A. van Moorsel and M. van Steen, LNCS, vol. 3460, hot topics series; Springer-Verlag, 2005
34. Schoelkopf B., Smola A.. Learning with Kernels. MIT Press, 2002
35. Siewiorek, Swarz. Reliable Computer Systems Design and Evaluation. The Digital Press, 2nd edition, 1992
36. Takens Floris. Detecting strange attractors in turbulence.. Eds.: DA. Rand and L.S. Young, Dynamical Systems and Turbulence, volume 898 of Lecture Notes in Mathematics, pages 366-381, New York, Springer, 1981
37. Trivedi Kishor S., Vaidyannthan Kalyanaraman and Goseva-Popstojanova Kater. Modeling and Analysis of Software Aging and Rejuvenation. Center for Advanced Computing & Communication, Dept. of Electrical & Computer Engineering, Duke University, Durham, NC 27708, USA, 2000
38. Weigend A. S., Gershenfeld N. A., eds.. Time Series Prediction. Proceedings of the Santa Fe Institute, Vol. XV, 1994