Cloud Computing : Data-Intensive Computing and Scheduling / Frederic Magoules, Jie Pan, Fei Teng.
Tipo de material:
TextoSeries Chapman & Hall/CRC numerical analysis and scientific computingDetalles de publicación: Boca Raton : CRC Press, ©2013Edición: 1a ediciónDescripción: xxiii, 205 páginas : ilustraciones ; 24 x 16 centímetrosTipo de contenido: - texto
- sin medio
- volumen
- 9781466507821 (hardback)
- QA 76 .585 M21 2013
| Tipo de ítem | Biblioteca actual | Biblioteca de origen | Colección | Signatura topográfica | Copia número | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems | |
|---|---|---|---|---|---|---|---|---|---|---|
Libros para consulta en sala
|
Biblioteca Antonio Enriquez Savignac | Biblioteca Antonio Enriquez Savignac | COLECCIÓN RESERVA | QA 76 .585 M21 2013 (Navegar estantería(Abre debajo)) | 1 | No para préstamo | 036959 |
Navegando Biblioteca Antonio Enriquez Savignac estanterías, Colección: COLECCIÓN RESERVA Cerrar el navegador de estanterías (Oculta el navegador de estanterías)
| QA 76 .585 E69 2013 Cloud computing : concepts, technology, & architecture / | QA 76 .585 F67 2015 Cloud services, networking, and management / | QA 76 .585 L47 2014 Cloud networking : understanding cloud-based data center networks / | QA 76 .585 M21 2013 Cloud Computing : Data-Intensive Computing and Scheduling / | QA 76 .585 R26 2015 Cloud computing : from beginning to end / | QA 76 .585 S66 2012 Private cloud computing : consolidation, virtualization, and service-oriented infrastructure / | QA 76 .5915 P8557 Ubiquitous computing : smart devices, environments and interactions / |
Incluye bibliografía: páginas 187-202 e índice
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
" 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."-- P. Web Editorial
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