By Tao Li, Shigang Chen
ISBN-10: 1461448506
ISBN-13: 9781461448501
ISBN-10: 1461448514
ISBN-13: 9781461448518
Traffic dimension on the net presents numerous novel on-line dimension equipment which are compact and speedy. site visitors dimension presents serious real-world info for provider prone and community administrations to accomplish potential making plans, accounting and billing, anomaly detection, and repair provision. Statistical tools play vital roles in lots of size features together with: process designing, version construction, formulation deriving, and mistake examining. one of many maximum demanding situations in designing an internet dimension functionality is to lessen the per-packet processing time so one can stay alongside of the road pace of the trendy routers. This ebook additionally introduces a tough challenge – the size of per-flow details in high-speed networks, in addition to, the answer. The final bankruptcy discusses origin-destination circulation measurement.
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Example text
The operation of O ptimal P(m, s) is illustrated by the arrows in Fig. 2; see explanation under caption (B). The pseudo code is given in Algorithm 2 in the appendix. • Third, given a value of m, we construct a procedure O ptimal S (m) that determines the optimal value s ∗ such that Potential( m, s ∗ , O ptimal P(m, s ∗ )) is maximized. When the value of m is fixed, Potential(m, s, O ptimal P(m, s)) becomes a function of s. It is a curve as illustrated in Fig. 3. We can use a binary search algorithm similar to that of O ptimal P(m, s) to find s ∗ .
27), we vary its value from 6 to 9. The new experimental results are shown in Fig. 7. In the top left plot, the maximum flow size that MLM can estimate is about 1,400 when b = 6. 10 Extension of Estimation Range 3500 3000 2500 2000 1500 1000 500 0 10 4 10 3 MRSCBF (40Mb) 0 500 1000 1500 2000 2500 Actual Flow Size (s) MRSCBF (80Mb) 102 101 10 0 100 101 102 103 Actual Flow Size (s) 104 Fig. 6 Estimation results by MRSCBF maximum flow size is about 2,800, which is twice of the maximum flow size that the top left plot can achieve.
11). 11) is an estimation. It does not give the precise value of k due to its probabilistic bit setting nature. It is even mathematically possible to give a negative estimation though this happens with exceedingly low probability. 1) will be met. 4 Variance of Vm Let Ai be the event that the ith bit in B remains ‘0’ at the end of the measurement period and 1 Ai be the corresponding indicator random variable. Let Um be the random variable for the number of ‘0’ bits in B. We first derive the probability for Ai to occur and the expected value of Um .