By Joseph L. Hellerstein, Yixin Diao, Sujay Parekh, Dawn M. Tilbury
A pioneering reference on regulate concept designed in particular for machine execs
In today’s automated financial system, the profitability and availability of many companies depend on a transparent realizing of the dynamics in their computing structures, specifically how they relate to alterations in workloads and configuration. widespread, dramatic adjustments in those components can degrade courses or even reason disasters, as usually validated on a company’s eCommerce website.
In the 1st booklet ever to handle this very important factor, suggestions keep watch over of Computing structures deals application designers and machine scientists a hands-on source that distills the necessities of keep an eye on idea had to successfully deal with those matters. essentially meant for pros engaged within the research and layout of computing structures, who frequently lack the conceptual instruments to deal with the dynamics of source administration, the textual content presents a bunch of important gains:
- MATLAB code for the answer of difficulties and case studies
- Numerous IT examples, corresponding to tuning the Apache HTTP server and the IBM Lotus Domino Server
- Examples rigorously selected to demonstrate key innovations and supply the foundation for modeling real-world structures
- Several appendices for convenient reference
A versatile "road map" strategy is helping assorted practitioners use the textual content in hugely specific methods, reckoning on their specific concentration, making suggestions keep watch over of Computing platforms a useful source for structures designers, IT managers, laptop scientists, in addition to different researchers within the box.
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Extra resources for Feedback Control of Computing Systems
TLFeBOOK 24 INTRODUCTION AND OVERVIEW of cache memory, there are constraints on what hit probabilities are feasible. One way to circumvent this difﬁculty is to use relative hit probabilities. That is, the absolute hit probability is divided by the sum of the hit probabilities of the other classes. This works well if the sum of the hit probabilities is constant or changes very slowly. Otherwise, a nonlinearity results. 5, control theory has been applied to a wide range of computing systems. Our experience with IBM products has been that control theory provides a systematic way to assess the implications of controller designs such as settling times and resource oscillations.
Its service time is deﬁned as the time when the request is being processed by the server. For example, request 22 has a waiting time of 1 since it arrives at 1 and enters service at 2, and its service time is 2. The rate at which requests are received by a system is the arrival rate. Sometimes, we also refer to the time between arrivals, or the interarrival time (which is the reciprocal of the arrival rate). Response time is the sum of service time and waiting time. The throughput of a queueing system is the rate at which requests leave; that is, the number of completions divided by the time over which the completions occur.
4 OPEN-LOOP VERSUS CLOSED-LOOP CONTROL Although closed-loop control has considerable appeal, its use requires, among other things, online measurements and careful design to ensure desirable system properties, especially stability, accuracy, short settling times, and small overshoot. An alternative is open-loop control , a technique that avoids using the measured output to adjust the control input. 4 depicts such a system. The feedforward controller uses the reference input (and sometimes the disturbance input) to determine the setting of the control input needed to achieve the desired measured output; the measured output is not used.