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The notions of service times, arrival rates, service demands, utilization, queue lengths, response time, throughput, and waiting time are discussed here in more precise terms. The chapter also introduces Operational Analysis, a set of basic quantitative relationships between performance quantities. 2 Basic Performance Results This section presents the approach known as operational analysis , used to establish relationships among quantities based on measured or known data about computer systems.
1097) tps. 12 tps) simply by balancing the load on the three existing disks. To be convinced that the balanced disk solution is the optimal solution, assume that all disks have a service demand equal to D seconds. Now, increase the service demand of one of them by seconds, for > 0. Since the sum of the service demands is to be kept constant, the service demand of at least one other disk has to be reduced in such a way that the sum remains the same. The disk that had its service demand increased will now have the largest service demand and becomes the bottleneck.
2. 4 Little's Law Conceptually, Little's Law  is quite simple and intuitively appealing. We describe the result by way of an analogy. Consider a pub. Customers arrive at the pub, stay for a while, and leave. , the queue length) is equal to the departure rate of customers from the pub times the average time each customer stays in the pub (see Fig. 2). 2. Little's Law. This result applies across a wide range of assumptions. For instance, consider a deterministic situation where a new customer walks into the pub every hour on the hour.
36 propositions for a home by Peripheriques