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Nº de artículo:
214604674
Optimizing the Replication of Multi-Quality Web Applications Using ACO and WOLF, (Paperback)
Nº de artículo:
214604674
PEN 138
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The ACO algorithm proposed, AntDA, is novel and outperforms several other solution methods, optimizing the replication of multi-quality web applications.
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What Stands Out
Innovative Techniques
Combines Ant Colony Optimization and WOLF methodologies to enhance the replication process of web applications, ensuring efficient resource use and adaptability across varying quality levels.
Comprehensive Insights
Offers in-depth analysis and practical solutions for developers facing challenges in multi-quality application deployment, making it a valuable resource for both research and practical implementation.
User-Centric Approach
Focuses on improving user experience by optimizing application performance, addressing common issues faced by web developers when managing multi-quality environments effectively.
Detalles de producto
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Textbooks |
| Publication date | December, 2012 |
| Pages | 78 |
| Subgenre | General |
| Series title | No Series |
| Edition | 1 |
| Publisher | Creative Media Partners, LLC |
| Original languages | English |
| Language | English |
| Edu focus | General |
| Educational level | General |
| Is collectible | N |
| Binding type | Perfect Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.14 x 0.16 x 9.21 in (15.6 x 0.4 x 23.4 cm) |
| Assembled product weight | 0.27 lb (120 grams) |
| Bisac subject heading | Education |
Who Should Buy?
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Web Developers
Developers looking to optimize web applications can benefit from techniques presented in the book for improved performance.
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Software Engineers
Engineers interested in algorithm optimization will find valuable strategies using ACO and WOLF methodologies for application replication.
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Researchers
Academics exploring web application performance can leverage insights from the book for further research and experimentation.
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Casual Readers
Individuals seeking light reading or casual topics will find the technical content of this book challenging and unengaging.
DESCRIPCIÓN DEL PRODUCTO
Optimizing the Replication of Multi-Quality Web Applications Using ACO and WOLF, (Paperback)
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Preguntas y respuestas de los clientes
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Pregunta:
What is the main focus of this thesis?
Respuesta: The thesis focuses on optimizing the replication of multi-quality web applications using a novel Ant Colony Optimization algorithm. -
Pregunta:
How does the AntDA algorithm differ from traditional ACO approaches?
Respuesta: AntDA uses a bidirectional bipartite graph traversal and utilizes changing heuristic edge values during solution construction. -
Pregunta:
What improvements does AntDA provide for application service providers?
Respuesta: AntDA helps ASPs efficiently assign application replicas to minimize update loads while satisfying user demand at desired quality levels.
Judson C Dressler All Books Editorial Review
Optimizing the Replication of Multi-Quality Web Applications Using ACO and WOLF, is a non-fiction textbook published in December 2012, featuring 78 pages of insightful content. It is part of a general educational focus and is designed for readers interested in advanced web application techniques. The paperback format and perfect binding make it an appealing choice for students and professionals alike. Readers have noted its clarity and effectiveness in explaining complex topics, making it a valuable resource for those looking to enhance their understanding of multi-quality web applications.
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ventajas
- Compact and portable design for easy handling
- Clear explanations for complex topics
- Suitable for general educational purposes
- Published by Creative Media Partners, LLC
- Perfect binding for durability
Contras
- Limited pages may leave some topics underexplored
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características y beneficios
- Introduces Ant Colony Optimization (ACO) for replicating web applications.
- Addresses the NP-hard problem of database-driven application replication.
- Focuses on optimization for application service providers (ASPs).
- Reduces user demand fulfillment issues at desired quality levels.
- Innovative bipartite graph traversal enhances solution construction.
- Demonstrated superior performance compared to alternative methods.
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