Performance Analysis and Grid Computing | Selected Articles from the Workshop on Performance Analysis and Distributed Computing August 19-23, 2002, Dagstuhl, Germany

Vladimir Getov (u. a.)

ISBN 10: 1461350387 / ISBN 13: 9781461350385

Published by Springer US, 2012

About this Item

Performance Analysis and Grid Computing | Selected Articles from the Workshop on Performance Analysis and Distributed Computing August 19-23, 2002, Dagstuhl, Germany | Vladimir Getov (u. a.) | Taschenbuch | xv | Englisch | 2012 | Springer US | EAN 9781461350385 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Seller Inventory # 105998275

Bibliographic Details

• Title: Performance Analysis and Grid Computing | Selected Articles from the Workshop on Performance Analysis and Distributed Computing August 19-23, 2002, Dagstuhl, Germany
• Publisher: Springer US
• Publication Date: 2012
• Language: English
• ISBN 10: 1461350387
• ISBN 13: 9781461350385
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 17D millimeters 235 millimeters width by 155 millimeters height by 17 millimeters depth
• Weight: 470 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.