Affiliation:
1. Faculty of Engineering, Oslo University College, Cort Adelers gate 30, Oslo, N-0254, Norway
Abstract
A causal, stochastic model of networked computers, based on information theory and nonequilibrium dynamical systems is presented. This provides a simple explanation for recent experimental results revealing the structure of information in network transactions. The model is based on non-Poissonian stochastic variables and pseudo-periodic functions. It explains the measured patterns seen in resource variables on computers in network communities. Weakly non-Poissonian behavior can be eliminated by a conformal scaling transformation and leads to a mapping onto statistical field theory. From this, it is possible to calculate the exact profile of the spectrum of fluctuations. This work has applications to anomaly detection and time-series analysis of computer transactions.
Publisher
World Scientific Pub Co Pte Lt
Subject
Computational Theory and Mathematics,Computer Science Applications,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics
Cited by
3 articles.
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1. Probabilistic anomaly detection in distributed computer networks;Science of Computer Programming;2006-03
2. On the theory of system administration;Science of Computer Programming;2003-12
3. Measuring system normality;ACM Transactions on Computer Systems;2002-05