Download e-book for iPad: Complex Dynamics in Communication Networks (Understanding by Ljupco Kocarev, Gabor Vattay

By Ljupco Kocarev, Gabor Vattay

ISBN-10: 3540243054

ISBN-13: 9783540243052

Computing device and conversation networks are between society's most crucial infrastructures. the net, specifically, is a big worldwide community of networks with crucial regulate or management. it's a paradigm of a fancy method, the place complexity may well come up from assorted assets: topological constitution, community evolution, connection and node range, and /or dynamical evolution. this can be the 1st booklet solely dedicated to the recent and rising box of nonlinear dynamics of TCP/IP networks. It addresses either scientists and engineers operating within the common box of verbal exchange networks.

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2(a) it can be observed that the congestion window corresponding to the largest round trip time is significantly larger than the others. This TCP obtains unfairly higher throughput than the other two. The packet loss rate of the preferred TCP (∼ 5 · 10−5 ) is also an order of magnitude less than that of the suppressed ones (∼ 7·10−4 ). The “winner” TCP behaves seemingly periodically, while the “losers” seem to be erratic. Obviously, there is something here which is missed completely by the stochastic model.

Figueiredo, B. Liu, V. Misra and D. Towsley , “On the Autocorrelation Structure of TCP Traffic”, UMass CMPSCI Technical Report TR 00-55, 2000 4. 4, August 1993, p. 397-413. 5. L. Guo, M. Crovella and I. Matta, “TCP Congestion Control and Heavy Tails”, Technical Report BUCS-TR-2000-017, Boston University, 2000 6. V. Jacobson, “Congestion avoidance and control”, In Proceedings of ACM SIGCOMM, pages 314–329, Stanford, USA, 1988. 7. W. E. Leland, M. S. Taqqu, W. Willinger and D. V. Wilson, “On the Self-Similar Nature of Ethernet Traffic”,ACM SIGCOMM ’93, San Francisco, CA, USA, Sep.

We use the same notation for the parameters as in [6]. 1. Queue occupancy is measured in number of packets. 2. Dropping probability is NOT increased slowly when average queue length exceeds maxthresh. 3. When the algorithm decides to drop a packet, it drops from the tail. 4. The algorithm doesn’t favor any packet based on its type(control or data) or size. 5. minth = 5 (minimum threshold of average queue size) 6. maxth = 15 (maximum threshold of average queue size) 7. 002 (queue weight given to current queue size sample) 8.

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Complex Dynamics in Communication Networks (Understanding Complex Systems) by Ljupco Kocarev, Gabor Vattay


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