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Improved Performance Models for Web-Based Software Systems: Modeling Thread Pool and Queue Limit Performance Factors
Item #: 234980606

Improved Performance Models for Web-Based Software Systems: Modeling Thread Pool and Queue Limit Performance Factors

Item #: 234980606

ZAR 1805

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What Stands Out

Enhanced Performance Insights
Provides detailed modeling of thread pool and queue behavior, allowing developers to optimize performance and scalability in web-based applications effectively.
Proactive Resource Management
Facilitates improved resource allocation strategies, ensuring applications run smoothly under varying loads while preventing potential performance bottlenecks.
Comprehensive Performance Metrics
Equips users with advanced performance metrics, offering actionable insights that help in fine-tuning software behavior and enhancing overall user experience.

Product Details

Shop Improved Performance Models for Web-Based Software Systems: Modeling Thread Pool and Queue Limit Performance Factors online at a best price in South Africa. 3843368678
  • Web-based software systems access some resources while executing the requests of the clients. Typically several requests arrive at the same time, thus, competitive situation is established for the resources. For modeling such situations queueing model-based approaches are widely recognized. There is a demand for researching the ways how performance models can become more efficient. This thesis addresses the issues to establish performance models and evaluation methodologies, which are suitable for performance prediction of web-based software systems. The first result group introduces and verifies queueing network models and evaluation algorithms to model multi-tier ASP.NET web-based software systems. This contribution also includes the identification and investigation of new dominant factors considering the response time and throughput performance metrics. The second and third contributions deal with the establishment and investigation of the evaluation and prediction techniques applying the identified thread pool and queue limit performance factors. These methods facilitate the efficient performance prediction of web-based software systems.
Publisher LAP LAMBERT Academic Publishing
Publication date 29 Oct. 2010
Language English
Print length 132 pages
ISBN-10 9783843368674
ISBN-13 978-3843368674
Item weight 204 g
Dimensions 15.01 x 0.76 x 22 cm
Country of OriginThis item will be imported from UK
What is in the boxImproved Performance Models for... For more details, please check description/product details

Who Should Buy?

Suitable For
  • Software Developers

    Ideal for developers focusing on optimizing performance in web applications through improved modeling techniques and resource management.

  • System Architects

    Beneficial for architects designing scalable systems where understanding thread pool and queue limits is crucial for performance.

  • Performance Analysts

    Perfect for analysts needing advanced models to evaluate and enhance performance metrics in web-based software systems.

Not Suitable For
  • Casual Users

    Not suitable for casual users who lack the technical background necessary to understand complex performance modeling concepts.

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Computing & Internet Editorial Review

Improved Performance Models For Web-Based Software Systems: Modeling Thread Pool And Queue Limit Performance Factors is a comprehensive resource published by LAP LAMBERT Academic Publishing. This book, published on 29 October 2010, spans 132 pages and is written in English. It dives deep into performance factors relevant to web-based software systems, specifically modeling the dynamics of thread pools and queue limits. The insights and methodologies presented can significantly aid software architects and developers in optimizing system performance. With its manageable dimensions of 15.01 x 0.76 x 22 cm and a weight of just 204 g, it's convenient for readers to handle and refer to as needed.

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Pros

  • In-depth analysis of software performance factors
  • Clear explanations of thread pool dynamics
  • Well-structured for easy comprehension
  • Practical examples and applications
  • Suitable for both beginners and professionals

Cons

  • Might require prior knowledge of software systems

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