Title :
Minimum cross entropy control in stochastic switching systems
Author :
Murgu, Alexandru
Author_Institution :
Dept. of Math. Inf. Technol., Jyvaskyla Univ., Finland
Abstract :
We consider a mathematical framework for switching systems of traffic streams based on the minimum cross entropy (MCE) approach. Linear models of traffic buffering processes are providing the control means through traffic splitting/merging and input-output connectivity patterns. The probabilistic description of general queueing systems deals with the stochastic flows in the switching nodes
Keywords :
buffer storage; minimum entropy methods; probability; queueing theory; stochastic processes; telecommunication control; telecommunication switching; telecommunication traffic; communication networks; control problem; general queueing systems; input-output connectivity patterns; linear models; minimum cross entropy control; probabilistic switching process; statistical multiplexing; stochastic flows; stochastic switching systems; switching nodes; traffic buffering process; traffic merging; traffic splitting; traffic streams; Communication system traffic control; Control systems; Costs; Entropy; Information technology; Merging; Stochastic processes; Stochastic systems; Switching systems; Traffic control;
Conference_Titel :
Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7123-2
DOI :
10.1109/ISIT.2001.936068
