Performance by Design: Computer Capacity Planning by Example by Daniel A. Menasce, Lawrence W. Dowdy, Virgilio A.F. Almeida

By Daniel A. Menasce, Lawrence W. Dowdy, Virgilio A.F. Almeida

Useful platforms modeling: making plans functionality, availability, safety, and moreComputing platforms needs to meet more and more strict caliber of provider (QoS) requisites for functionality, availability, safety, and maintainability. to accomplish those ambitions, designers, analysts, and capability planners want a way more thorough realizing of QoS matters, and the results in their judgements. Now, 3 major specialists current a whole, application-driven framework for realizing and estimating functionality. you will research precisely how you can map real-life platforms to exact functionality types, and use these types to make higher judgements - either up entrance and through the whole procedure lifecycle. insurance comprises: * state of the art quantitative research concepts, supported through large numerical examples and workouts * QoS concerns in standards research, specification, layout, improvement, checking out, deployment, operation, and approach evolution * particular situations, together with e-Business and database companies, servers, clusters, and information facilities * strategies for making a choice on strength congestion at either software program and degrees * functionality Engineering thoughts and instruments * targeted answer thoughts together with precise and approximate MVA and Markov Chains * Modeling of software program competition, fork-and-join, carrier expense variability, and precedence

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Extra resources for Performance by Design: Computer Capacity Planning by Example

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A Web server, composed of a single CPU and single disk, was monitored for one hour. The main workload of the server can be divided into HTML files and requests for image files. During the measurement interval 14,040 requests for HTML files and 1,034 requests for image files are processed. An analysis of the Web server log shows that HTML files are 3,000-bytes long and image files are 15,000-bytes long on average. The average disk service time is 12 msec for 1,000-byte blocks. 002 x RequestSize, where RequestSize is given in the number of 1000-byte blocks processed.

4. A database server has two identical disks. The service demands of database transactions on these disks are 100 msec and 150 msec, respectively. Show how these service demands would change under the following scenarios: ♦ Disk 1 is replaced by a disk that is 40% faster. ♦ Enough main memory is installed so that the hit rate on the database server's cache is 30%. ♦ The log option of the database management system is enabled. A log record is generated on disk 2 for each update transaction. Updates account for 30% of the transactions and recording a log record takes 15 msec.

1. 2. 3. 4. 5. 6. 1 Introduction Chapter 2 introduced the basic framework that will be used throughout the book to think about performance issues in computer systems: queuing networks. That chapter concentrated on the qualitative aspects of these models and looked at how a computer system can be mapped into a network of queues. This chapter focuses on the quantitative aspects of these models and introduce the input parameters and performance metrics that can be obtained from the QN models. 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.

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