self-similarity | Academic Journals and Conferences

Entropy calculation for networks with determined values of flows in nodes

The paper analyses a network with given input and output flows in each of its nodes. The basis of this analysis is the algorithm for determining the set of solutions of the linear equations system, using the Gaussian method. The power of the set determines the structural entropy of the system. By introducing uncertainty into the value of part of the information flows, the deviation of the network from its equilibrium state is simulated. The set of potential solutions, as a part of the total set of the system solutions, determines the statistical entropy of the syste

Self-similar model of cloud data warehouse load

This article presents the results of the practical study of real load cloud storage. The dynamic characteristics of incoming and outgoing traffic and distribution capacity server hardware are established. It has enabled a dynamic model load construction and the opportunity to practically demonstrate the feasibility of using fractal models. Temporal self-similarity parameters have been revealed. Implemented self-similar model of load allows accurately predict the workload in the time context.

Study of self-similar processes traffic based on/off model

The article examines the relationship of the various characteristics of the random process associated with the effect of self-similarity. A simulation of the transfer traffic. The results Hurst parameter estimation by different methods.