Performance of data networks with random links
Mathematics and Computers in Simulation
Using collective intelligence to route Internet traffic
Proceedings of the 1998 conference on Advances in neural information processing systems II
Packet delay in models of data networks
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Forced Oscillations in Systems with Argmin Type Operators
Automation and Remote Control
Ants and reinforcement learning: a case study in routing in dynamic networks
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
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The state-of-the-art of the worldwide web (Internet) and its short-range development (GRID), on the one hand, offer to the user wide possibilities of accessing not only the international information resources, but the computational resources as well, and, on the other hand, give rise to a number of problems of system nature. GRID was considered as a dynamic stochastic network whose state is characterized by the spatial distributions of the information-and-computation resources and information flows. The time profiles of these components of state feature essentially different times of relaxation. This distinction of the network enables one to adapt and develop the concepts of the macrosystem approach for studying the space-time evolution of the GRID state. Proposed were models of the states of the local-stationary network that rely on the generalized principle of entropy maximization. They make an integral part of the evolutionary model of information-and-computation resources which is classified with the positive dynamic systems with an entropy operator.