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Cloud Computing: Data-Intensive Computing and Scheduling (Chapman & Hall/CRC Num
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Libro en perfecto estado y poco leído. La tapa no tiene desperfectos y si procede, con sobrecubierta para las tapas duras. Incluye todas las páginas sin arrugas ni roturas. El texto no está subrayado ni resaltado de forma alguna, y no hay anotaciones en los márgenes. Puede presentar marcas de identificación mínimas en la contraportada o las guardas. Muy poco usado. Consulta el anuncio del vendedor para obtener más información y la descripción de cualquier posible imperfección.
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N.º de artículo de eBay:297291332854
Última actualización el 10 may 2025 14:30:19 H.EspVer todas las actualizacionesVer todas las actualizaciones
Características del artículo
- Estado
- EAN
- 9781466507821
- ISBN
- 1466507829
- Book Title
- Cloud Computing: Data-Intensive Computing and Scheduling (Chapman
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Product Identifiers
Publisher
CRC Press LLC
ISBN-10
1466507829
ISBN-13
9781466507821
eBay Product ID (ePID)
111388806
Product Key Features
Number of Pages
232 Pages
Publication Name
Cloud Computing : Data-Intensive Computing and Scheduling
Language
English
Publication Year
2012
Subject
Cloud Computing, Internet / General, Programming / Parallel, General
Type
Textbook
Subject Area
Mathematics, Computers
Format
Hardcover
Dimensions
Item Height
0.7 in
Item Weight
16.9 Oz
Item Length
9.3 in
Item Width
6.5 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2012-015478
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
004.6782
Table Of Content
Overview of Cloud Computing. Resource Scheduling for Cloud Computing. Game Theoretical Allocation in a Cloud Datacenter. Multidimensional Data Analysis in a Cloud Datacenter. Data-Intensive Applications with MapReduce. Large-Scale Multidimensional Data Aggregation. Multidimensional Data Analysis Optimization. Real-Time Scheduling with MapReduce. Future for Cloud Computing. Bibliography. Index.
Synopsis
This book presents various technologies that demonstrate how cloud computing can meet business requirements and serve as the infrastructure of multidimensional data analysis applications. Addressing performance issues, it explores the evolution of classical techniques and describes completely new methods and innovative algorithms. The text covers scheduling algorithms for real-time tasks and practical algorithms for user bidding and auctioneer pricing. It explains approaches to data analytical query processing, including pre-computing, data indexing, and data partitioning. Applications of MapReduce, a new parallel programming model, are also presented., As more and more data is generated at a faster-than-ever rate, processing large volumes of data is becoming a challenge for data analysis software. Addressing performance issues, Cloud Computing: Data-Intensive Computing and Scheduling explores the evolution of classical techniques and describes completely new methods and innovative algorithms. The book delineates many concepts, models, methods, algorithms, and software used in cloud computing. After a general introduction to the field, the text covers resource management, including scheduling algorithms for real-time tasks and practical algorithms for user bidding and auctioneer pricing. It next explains approaches to data analytical query processing, including pre-computing, data indexing, and data partitioning. Applications of MapReduce, a new parallel programming model, are then presented. The authors also discuss how to optimize multiple group-by query processing and introduce a MapReduce real-time scheduling algorithm. A useful reference for studying and using MapReduce and cloud computing platforms, this book presents various technologies that demonstrate how cloud computing can meet business requirements and serve as the infrastructure of multidimensional data analysis applications.
LC Classification Number
QA76.585
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