By Daniel A. Menasce, Lawrence W. Dowdy, Virgilio A.F. Almeida
Functional structures modeling: making plans functionality, availability, safety, and moreComputing structures needs to meet more and more strict caliber of provider (QoS) necessities for functionality, availability, defense, and maintainability. to accomplish those targets, designers, analysts, and capability planners desire a way more thorough figuring out of QoS concerns, and the consequences in their judgements. Now, 3 major specialists current a whole, application-driven framework for knowing and estimating functionality. you will study precisely easy methods to map real-life structures to exact functionality versions, and use these versions to make higher judgements - either up entrance and in the course of the complete procedure lifecycle. assurance contains: * cutting-edge quantitative research options, supported via broad numerical examples and workouts * QoS concerns in requisites research, specification, layout, improvement, checking out, deployment, operation, and approach evolution * particular situations, together with e-Business and database prone, servers, clusters, and information facilities * concepts for picking capability congestion at either software program and degrees * functionality Engineering suggestions and instruments * unique resolution thoughts together with precise and approximate MVA and Markov Chains * Modeling of software program rivalry, fork-and-join, provider cost variability, and precedence
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Extra resources for Performance by Design: Computer Capacity Planning by Example
Sample text
The service demands do not include any queuing time, only the total service required by a transaction at the device. , as the throughput, X0) increases on the database server, each of the device utilizations also increases linearly as a function of their individual Di's. See Fig. 6. As indicated in the figure, the utilization of disk 3 will reach 100% before any other resource, because the utilization of this disk is always greater than that of other resources. That is, disk3 is the system's bottleneck.
1. Closed QN model of a database server. 1. , the sum of the number of reads and writes per second. This value is indicated in the fourth column of the table. Using the Utilization Law, the average service time is computed as Si as Ui/Xi. 0108 sec. 8 tps. 2 Service Demand Law Service demand is a fundamental concept in performance modeling. The notion of service demand is associated both with a resource and a set of requests using the resource. The service demand, denoted as Di, is defined as the total average time spent by a typical request of a given type obtaining service from resource i.
A QN is a collection of K interconnected queues. A queue includes the waiting line and the resource that provides service to customers. Customers move from one queue to the other until they complete their execution and may be grouped into one or more customer classes. In some cases, customers may be allowed to switch to other classes when they move between queues. A QN can be open, closed, or mixed depending on its customer classes: open if all classes are open, closed if all classes are closed, and mixed if some classes are open and some are closed.
