Predictive Algorithms and Technologies for Availability Enhancement

  • Miroslaw Malek
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5017)


Predicting the future has fascinated people throughout civilizations but until the 20th century it has been more of a magic than science. Ability to predict the future has a significant impact on wide spectrum of applications ranging from business, communication systems and politics to health monitoring and enviromental protection. It will also become essential in dependability enhancement, security and critical infrastructure protection. With development of machine learning, pattern recognition, data mining and computer technology we seem to be better equipped to tackle the prediction problem with a more science-based, goal-oriented approach.


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  1. 1.
    Hoffmann, G.A., Trivedi, K.S., Malek, M.: A Best Practice Guide to Resource Forecasting for Computing Systems. IEEE Transactions on Reliability 56(4) (2007)Google Scholar
  2. 2.
    Hoffmann, G.A., Malek, M.: Call Availability Prediction in a Telecommunication System: A Data Driven Empirical Approach. In: IEEE Symposium on Reliable Distributed Systems (SRDS 2006), Leeds, United Kingdom (2006)Google Scholar
  3. 3.
    Salfner, F., Malek, M.: Using Hidden Semi-Markov Models for Effective Online Failure Prediction. In: IEEE Proceedings of the 26th Symposium on Reliable Distributed Systems (SRDS 2007), Beijing, China (2007)Google Scholar
  4. 4.
    Malek, M., Milic, M., Milanovic, N.: Analytical Availability Assessment of IT Services. In: 5017Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Miroslaw Malek
    • 1
  1. 1.Institut für InformatikHumboldt-Universität zu BerlinGermany

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