Download Complex dynamics in communication networks by Ljupco Kocarev, Gabor Vattay PDF

By Ljupco Kocarev, Gabor Vattay

Desktop and conversation networks are between society's most crucial infrastructures. the net, particularly, is a big international community of networks with important keep watch over or management. it's a paradigm of a posh process, the place complexity might come up from various assets: topological constitution, community evolution, connection and node variety, and /or dynamical evolution. this is often the 1st publication solely dedicated to the recent and rising box of nonlinear dynamics of TCP/IP networks. It addresses either scientists and engineers operating within the basic box of communique networks.

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Furthermore, the limiting distribution Δt = limn→∞ Δtn of the congestion epoch durations is not concentrated at the mean value. Proof. Observe that in the previous two scenarios that Δtn has the form Δtn = αn C ± 2−n x0 ± 2−n y0 where αn = αn−1 1 2 − 2 , αn−1 2 , if reset larger source, if reset smaller source. (9) The signs decorating the initial values x0 and y0 do not play a role in the limiting behavior of Δtn because the magnitude of the initial values’ contributions decreases rapidly. Hence, the time between resets in the random case has the form Δtn = αn C ± 2−n x0 ± 2−n y0 where αn = αn−1 1 2 − 2 , αn−1 , 2 with probability p, with probability 1 − p and αn is initialized α2 = 1/4.

More formally, if Δtn = tn − tn−1 denotes the time between the nth and the (n − 1)st reset of the system, Δtn → C/3 as n → ∞. Proof. Let us assume without loss of generality that x0 > y0 so that x is the larger source initially. We first show that the time Δtn between resets n and n − 1 satisfies the recurrence relation C = 2Δtn + Δtn−1 (2) with Δt2 = 1/4C + 1/4x0 − 1/4y0 . This relation imposes the form Δtn = αn C + (−1)n (−1)n x − y0 0 2n 2n (3) with αn = 1/2 − αn−1 /2 upon Δtn . We proceed by induction and observe that the first reset occurs at time t1 when C = A(t1 ) = x0 + t1 + y0 + t1 , or when t1 = 1/2C − 1/2x0 − 1/2y0 .

4. Perhaps surprisingly, RED shows peaks at larger values of r than for droptail, which counters the intuition that RED prevents “global synchronization” by not resetting all the connections to the same state (cwnd = 1), at the same time. Thus, not only is the assumption inaccurate, since we show that the periodic behavior does not require the synchronization of sources, but also RED does not achieve the prevention of periodic behavior that it set out to do. Worse still, we know from our analytical model that the higher the fraction r, the faster the convergence to the invariant periodic behavior, and lower the minimum of the periodic behavior, resulting in lower average utilization of the link.

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