Name: Performance Analysis and Grid Computing: Selected Articles from the Workshop on Performance Analysis and Distributed Computing August 19-23, 2002, Dag (en Inglés)
SKU: 58150585
Price: 140.47 USD
Availability: InStock
Author: Getov, Vladimir ; Gerndt, Michael ; Hoisie, Adolfy
ISBN: 9781461350385

portada Performance Analysis and Grid Computing: Selected Articles from the Workshop on Performance Analysis and Distributed Computing August 19-23, 2002, Dag (en Inglés)

Performance Analysis and Grid Computing: Selected Articles from the Workshop on Performance Analysis and Distributed Computing August 19-23, 2002, Dag (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Getov, Vladimir ; Gerndt, Michael ; Hoisie, Adolfy

Idioma

Inglés

N° páginas

290

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6x1.7 cm

Peso

0.44 kg.

ISBN13

9781461350385

Categorías

Matemáticas
Arquitectura y diseño lógico de ordenadores

Performance Analysis and Grid Computing: Selected Articles from the Workshop on Performance Analysis and Distributed Computing August 19-23, 2002, Dag (en Inglés)

Getov, Vladimir ; Gerndt, Michael ; Hoisie, Adolfy (Autor) · Springer · Tapa Blanda

Libro Nuevo Importado

Envío: 17 a 24 días háb.

$ 280.95$ 140.47

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 140.47

Llega entre el 08 Sep y el 21 Sep a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Performance Analysis and Grid Computing: Selected Articles from the Workshop on Performance Analysis and Distributed Computing August 19-23, 2002, Dag (en Inglés)"

Past and current research in computer performance analysis has focused primarily on dedicated parallel machines. However, future applications in the area of high-performance computing will not only use individual parallel systems but a large set of networked resources. This scenario of computational and data Grids is attracting a great deal of attention from both computer and computational scientists. In addition to the inherent complexity of parallel machines, the sharing and transparency of the available resources introduces new challenges on performance analysis, techniques, and systems. In order to meet those challenges, a multi-disciplinary approach to the multi-faceted problems of performance is required. New degrees of freedom will come into play with a direct impact on the performance of Grid computing, including wide-area network performance, quality-of-service (QoS), heterogeneity, and middleware systems, to mention only a few.