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Yehuda
Ben-Shimol
Bio [2003]
Israel-born Yehuda teaches in the Department of Communication Systems
Engineering in the Ben-Gurion
University of the Negev. In his student
days he carried out research on relativistic electrodynamics. Since
1998
has been interested communication networks and systems research and is
an active author of
papers in these fields. Yehuda also plays the role
of consultant to communication and networking companies
and was the initiator
of a Start-up company in the area of managed IP networks. During the NKS
Summer School he was to be seen doing Tai-Chi, just one of the internal
soft martial arts he practices.
Yehuda's other interests include studying
the origins of randomness in communication networks traffic
patterns,
from the perspective of finding practical applications and implementations
of Stephen
Wolfram's new kind of science.
Project Title
Generating Communication Networks
Traffic with Simple Cellular Automata
Rules
Project Abstract
Many
researches point out that modern communication networks (e.g., Internet,
LANs, cellular data networks)
carry complex behaved traffic [1-3]. The
exact reasons for this complex behavior is still not well
understood.
This phenomena may emerge from interactions among various traffic flows
generated and
forwarded by individual nodes of the communication network
[1-3]. Other possibility is the combination of a
vast number of individual
traffic sources (i.e., end users) at the edges of the network. In research
we will try to synteticaly generate, identify and understand the complexity
of network traffic as it
emerges from the interaction between adjacent
nodes of communication networks.
We will try
to explore the underlying mechanism of traffic complexity
by generating a trivalent large network. The
"communication mechanism"
which excites the traffic between neighboring nodes will be an underlying
totalistic one-dimensional cellular automaton (CA) [4] that is activated
independently and simultaneously
in each node of the network. As pointed
in [4] the simplicity of such models allows us to explore (by
exhaustive
search) all the possible rules that belong to this type of CA's.
[1] K. Park and W. Willinger, "Self similar
traffic: an overview", Self-similar
network traffic: An overview. In
Self-Similar Network Traffic and Performance Evaluation, K. Park and
W. Willinger, editors, Wiley Interscience, 1999.
[2] W. E. Leland, M. S. Taqqu, W.
Willinger, and D. V. Wilson, "On the
selfsimilar nature of Ethernet traffic (extended version)",
IEEE/ACM
Transactions on Networking, Vol. 2, pp. 1¿15, 1994.
[3] J. Yuan
and K. Mills, "Exploring Collective Dynamics in Communication
Networks", Journal of Research of the
National Institute of Standards
and Technology, Vol. 107, no. 2, pp. 179-191, 2002.
[4] S. Wolfram, A New Kind of Science, 2002.
Favorite 3-color Cellular
Automata
 Rule Chosen: 1718480650885
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