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The remaining methods implement an Enumeration. copyTreeToVector() copies the contents of the binary tree to the Vector listV; getEnumeration() then returns the Enumeration for listV:
All that is needed to maintain CondProb is a clock or alarm of period 2, which, starting at time t 0, goes off at times t T1 ; T1 T2 ; T1 T2 T1 ; T1 T2 T1 T2 ; ..
(22)
If a feedback packet containing an instantaneous throughput g measured at the receiver arrives during the period i T1 T2 ; i T1 T2 T1 ; i ! 0;
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it is added to V1 . When the alarm goes off at t i T1 T2 T1 , V1 is used to t t compute the updated Vmin ; Vmax and the quantization step m which can be easily done incrementally by using O 1 operations. Now l L1 V1 is computed using the t t updated Vmin and Vmax ; and CondProb[l][9] is incremented by 1. During interval i T1 T2 T1 ; i 1 T1 T2 ; i ! 0;
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a similar operation is performed, however, now, with respect to V2 At the end of the t t interval, the updated Vmin, Vmax are computed, and l H L2 V2 is computed Finally, CondProb[l][l'] is incremented by 1, and V1, V2 are reset to 0 to start the process anew The number of operations within a time interval of length T1 T2 is O 1 It should be noted that the conditional densities computed from CondProb at time t are approximations to the conditional probability densities computed off-line for the period 0; t since in the on-line algorithm running sums are used to compute t t and update Vmin and Vmax Results of on-line approximation of conditional probability densities are shown in Section 18521 1842.
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2 Selective Application of Aggressiveness SAC aims to ``expedite'' the bandwidth consumption process during the linear increase phase of linear increase= exponential decrease feedback congestion control algorithms in our case, represented by the generic feedback congestion control algorithm (184) when such actions are warranted The actuation part of the interface between SAC and Eq (184) is de ned as follows Let lt denote the newly updated rate value at time t by Eq (184) and let ltH be the most recently t H < t updated rate value previous to t SAC (Actuation Interface) 1 If lt > ltH then update lt 2 lt Et 2 Else do nothing Here, Et ! 0 is an aggressiveness factor that is determined by SAC based on the current state of CondProb Note that SAC kicks into action only during the linear increase phase of Eq (18.
4), that is, when lt > ltH The magnitude of Et determines the degree of aggressiveness, and it is determined as a function of the predicted network state as captured by CondProb and its conditional probability densities At time t, the algorithm used to determine E is as follows Let St be the aggregate throughput reported by the receiver via feedback over time interval t T1 ; t ..
private Vector listV; public final Enumeration getEnumeration() { copyTreeToVector(); return listV.elements(); } private void copyTreeToVector() { listV = new Vector(size); addToListV(root); // recursive call }
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