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We then use (10.4.63) to compute t~ for increasing n. The computation of the s~( cos B) function can be carried out by using the following relations. (i) For m > 0: s;;:(cosB)

= cos Bt;;:(cos B)

Because 1 is greater than 0, Delayed Job processes this video first When Delayed Job goes to fetch tasks from the delayed_jobs table, it appends the following to the SQL it generates:

(10.4.66)

(21.35)

ms~(cosB) = ncosBt~(cosB) - t~_I(cosB)

(2n+1)(n2 m2))1/2 2n -1 '

(ii) For m sn(cosB)

+ 1)

(10.4.67)

Control algorithm (N = 1 case) (1) De ne a virtual queueing process q1 (n) and set q1 (0) = 0 (2) q1 (n) = [q1 (n 1) + V1 (n) p ]+ For n 0, we let V (n) = 0 (3) a1 (n) = [ p V1 (n + n 1 ) q1 (n + n 1 1)]+ For n 0, we let a1 (n) = 0 For N NRT traf c sources the algorithm is modi ed as follows Control algorithm (N > 1 case) (1) Set qi (0) = 0, 1 i N (2) qi (n) = [qi (n 1) + Vi (n) p ]+ For n 0, we let V (n) = 0 (3) ai (n) = [ p Vi (n + n i ) qi (n + n i 1)]+ /N (4) For n 0, we let ai (n) = 0 2151.

= 0:

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n- 1

n- 1

It first sorts on the priority column, with records of the highest priorities first in the list It then sorts by the run_at column, getting the oldest records first (but we ll get to that in a minute) Because the priority column is just an Integer, we can use both positive and negative numbers when assigning priority For example, our paid premium members get a priority of greater than 0, our nonpaid members get a priority of 0, and our unverified new users get a priority of less than 0 As you just saw, the run_at column does just what its name suggests: It allows us to tell Delayed Job when we want to run a particular task For example, we want to create a task for each of our users that charges their credit cards on the first of each month We also want to make sure that those tasks get a very high priority, because they re the most important to the business To do that, we might create a custom worker like the following (Please note that unless you ve actually created all the code to back all of this, the following examples are just for show, not for running)

2n - 3

s~_2(cosB)

2 Performance example Three different alternatives for predictor are used [81] In A1, the xed low-pass lter is chosen as HLPF (z) = (1/4)(1 + z 1 + z 2 + z 3 ) The MMSE predictor is designed as follows First, a low-pass lter A1 is applied to the high-priority RT traf c Next, a standard Mi (i) minimizing mean square error linear predictor HMMSE (z) with the form m=0 Bm z ni m is calculated based on the low-frequency part of the RT traf c The nal MMSE predictor is z ni Hi (z) = HLPF (z)HMMSE (z) Note that HMMSE (z) will require explicit knowledge of the round-trip delays per- ow information n i In A3 that information is approximated by an average value n 0 for all ows The prediction error is de ned as ( j) = V ( j) V1 ( j).

(10.4.68)

(_l)m+lt~(cosB)

(-l)ms~(cosB)

(10.4.69) (10.4.70) (10.4.71) (10.4.72)

The queue length at the node of interest is bounded by [79].

= s:;;,m(cosB) =

t:;;,m(cosB)

Thus, to set up a computer code, we first decide on a maximum value of n equal to N max and initialize the values by using (10.4.64) and (10.4.65). Next the values of t;;: and t;;:+l for m = 1,2, ... , N max are calculated by (10.4.61) and (10.4.62). The values for negative degrees m are obtained by using (10.4.71). The values of the functions s~ for m > 0 are obtained from the t~ values by (10.4.66) and (10.4.67). The function s~ is computed by using the recurrence relation of (10.4.68) which is initialized by (10.4.69) and (10.4.70). Negative degrees of s~ are calculated by using (10.4.72).

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