File Name: software performance and scalability a quantitative approach .zip
It is much needed, well written, and thoughtful. This is the first book to take a quantitative approach to the subject of software performance and scalability. It brings together three unique perspectives to demonstrate how your products can be optimized and tuned for the best possible performance and scalability:.
Henry H. Previously, he worked as a physicist in the national labs of China, France, Germany, and the United States. NET Developer. Liu is most interested in applying his previous scientific research disciplines to solving software performance and scalability challenges. Hardware Platform 5 1. Software Platform 41 2. Testing Software Performance and Scalability 65 3.
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Not a MyNAP member yet? Register for a free account to start saving and receiving special member only perks. Fast, inexpensive computers are now essential to numerous human endeavors. But less well understood is the need not just for fast computers but also for ever-faster and higher-performing computers at the same or better costs. Exponential growth of the type and scale that have fueled the entire information technology industry is ending.
Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. Liu Published in Wiley series on quantitative…. Praise from the Reviewers: "The practicality of the subject in a real-world situation distinguishes this book from others available on the market. It is much needed, well written, and thoughtful. View Paper. Save to Library.
Suneeta H. The term software performance engineering SPE is a systematic and quantitative approach for constructing software systems to meet the performance objectives such as response time, throughput, scalability and resource utilization. Optimization is major concern in achieving performance parameters.
In the context of software engineering , software quality refers to two related but distinct notions: [ citation needed ]. Many aspects of structural quality can be evaluated only statically through the analysis of the software inner structure, its source code see Software metrics ,  at the unit level, system level sometimes referred to as end-to-end testing  , which is in effect how its architecture adheres to sound principles of software architecture outlined in a paper on the topic by Object Management Group OMG. However some structural qualities, such as usability , can be assessed only dynamically users or others acting in their behalf interact with the software or, at least, some prototype or partial implementation; even the interaction with a mock version made in cardboard represents a dynamic test because such version can be considered a prototype. Other aspects, such as reliability, might involve not only the software but also the underlying hardware, therefore, it can be assessed both statically and dynamically stress test. Functional quality is typically assessed dynamically but it is also possible to use static tests such as software reviews. Software quality measurement quantifies to what extent a software program or system rates along each of these five dimensions. An aggregated measure of software quality can be computed through a qualitative or a quantitative scoring scheme or a mix of both and then a weighting system reflecting the priorities.
Molecular Exchange Monte Carlo. Efficient random number generation for fermi class gpus , Nirodha Abeywardana. Pascalyptus: a power-aware scheduler for eucalyptus framework , Soumyasudharsan Srinivasaraghavan. Probabilistic models for patient scheduling , Adel Alaeddini.