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Titlebook: Exercises in Computer Systems Analysis; W. Everling Book 1975 Springer-Verlag Berlin Heidelberg 1975 calculus.computer.systems analysis

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21#
發(fā)表于 2025-3-25 04:03:11 | 只看該作者
22#
發(fā)表于 2025-3-25 09:46:29 | 只看該作者
Some statistical analysis of design data,The majority of the Systems Design Data as exemplified by the Case Study, are statistics of variables, the individual values of which are unpredictable. An assumption basic to all systems analysis is that these variables can at least be described by probability laws, and hence are . in the sense of Probability Theory.
23#
發(fā)表于 2025-3-25 11:45:07 | 只看該作者
24#
發(fā)表于 2025-3-25 18:27:16 | 只看該作者
A first result on the single server queue,A basic model of the single server queue was defined in chapter 3, page 36. For this queuing system, the limit T. of the average wait time can be derived by a reasoning (Pollaczek., Khintchine.) which . the statistical stability of the queuing process, as considered on page 38.
25#
發(fā)表于 2025-3-25 20:33:19 | 只看該作者
Terminal systems with polling,A telecommunication line as discussed in chapter 2 gives its service to the messages which arise in geographically different places, the computer center and at least a terminal. In fact, economic reasons often suggest to share a single line of high capacity among several terminals, even if they are at different locations.
26#
發(fā)表于 2025-3-26 03:21:41 | 只看該作者
27#
發(fā)表于 2025-3-26 07:14:25 | 只看該作者
Core buffer requirements,Message transmission over a telecommunication line, once it is started, continues to the end of the message irrespective of how the characters are received in the computer center. It is necessary to provide enough space in core memory of the center so that character by character can be stored there as they arrive. Otherwise, data might be lost.
28#
發(fā)表于 2025-3-26 09:02:52 | 只看該作者
29#
發(fā)表于 2025-3-26 12:39:37 | 只看該作者
30#
發(fā)表于 2025-3-26 18:27:50 | 只看該作者
Imbedded Markov chains of Some queuing processes,Assume a queuing system with one server, and the inter-arrival times or return times with an exponential distribution as on page 120.
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