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Then from Theorem 8.3.4 it immediately follows that Y is an asymptotically secondorder self-similar process. Statement (8.29) can be proved in the same way. j

LINE SPEED THEORETICAL THEORETICAL THEORETICAL REALISTIC MEGABITS/ MEGABITS/ MEGABYTES/ MEGABYTES/ UTILIZATION SEC SEC SEC HOUR

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8.4 ASYMPTOTICAL BOUNDS FOR BUFFER OVERFLOW PROBABILITY In this section we consider the process Y de ned by Eq. (8.11) as the input traf c of a single server queueing system with constant server rate equal to C and in nite buffer size. Suppose process Y has nite mean m EYt < C < I and nite variance s2 Var Yt < I. We will consider the particular form of the process Y . Namely, we consider the case when the random process ci;j t 1. Let Prft0;1 ig $ c0 i 2 b 8:30

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as i 3 I, with 0 < b < 1. Then, according to Eq. (8.29) with c0;1 1, process Y will be asymptotically second-order self-similar with Hurst parameter H 1 b=2. Now we are interested in the queue length behavior. Let nt be the length of the queue at the moment t. Then we have nt max 0; nt 1 Yt C : 8:31

Fibre Channel 1x 1,600 200 720,000 75%

We will estimate the probability Prfnt > zg, that is, the stationary probability to nd, at moment t, the length of the queue bigger than z, for large value of z. For any given z, let us split the process Yt into two processes Yt 1 and Yt 2 , that is, Yt Yt 1 Yt 2 ;

1,062.5

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8:32 8:33

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We also need to examine the speed with which data can make it from a system (whether it has come across a network or from local disks) to a locally attached tape drive. There are two components to this: the speed with which the tape drive can write (see Table 6.2) and the speed at which data can be sent to the tape drive, across a directly attached bus connection (see Table 6.3).

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where E is some positive constant, and yk was de ned at the beginning of Section 8.3. As z 3 I, EYt 2 3 0; nevertheless, the process Yt 2 will produce the main contribution to the probability Prfnt > zg for large values of z, while process Yt 1 will give an average load to the queueing system. First, we derive an upper bound for the probability Prfnt > zg. De ne Sk We have Prfnt > zg Pr maxfSk kCg > z :

Table 6.2 Capacity and Performance of Selected Tape Drives WRITE PERFORMANCE PER SECOND (COMPRESSED) IN MEGABYTES/ SECOND 1.5 (3.0) 5 (10) 6 (12) 16 (32) 1 8 (20) 6 (12) 20 (40) 40 (80) WRITE PERFORMANCE PER HOUR (COMPRESSED) IN GIGABYTES 5.4 (10.8) 18 (36) 21.6 (43.2) 57.6 (115.2) 3.6 28.8 (72) 21.6 (43.2) 72 (144) 144 (288)

Yt i ;

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j Yt i ;

TAPE CAPACITY IN GIGABYTES (COMPRESSED) 20 (40) 35 (70) 40 (80) 160 (320) 14 20 (80) 50 (100) 100 (200) 200 (400)

j 1; 2:

8:34

Table 6.3 Performance of Selected Local Data Buses CONNECTION TYPE Narrow SCSI Wide SCSI Ultra SCSI Ultra2 SCSI Ultra160 SCSI Ultra320 SCSI Fibre Channel Infiniband SPEED 10MB/second (36GB/hr) 20MB/second (72GB/hr) 40MB/second (144GB/hr) 80MB/second (288GB/hr) 160MB/second (576GB/hr) 320MB/second (1.15TB/hr) 100MB/second (360GB/hr) 2.5GB/second (9TB/hr)

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