E-Book, Englisch, Band 1971, 234 Seiten, eBook
Buyya / Baker Grid Computing - GRID 2000
Erscheinungsjahr 2003
ISBN: 978-3-540-44444-2
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
First IEEE/ACM International Workshop Bangalore, India, December 17, 2000 Proceedings
E-Book, Englisch, Band 1971, 234 Seiten, eBook
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-540-44444-2
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Keynote and Invited Papers.- DOT-COMing the GRID: Using Grids for Business.- Design Issues of Network Enabled Server Systems for the Grid.- Grid Resource Management.- Architectural Models for Resource Management in the Grid.- JaWS: An Open Market-Based Framework for Distributed Computing over the Internet.- MeSch - An Approach to Resource Management in a Distributed Environment.- Resource Management Method for Cooperative Web Computing on Computational Grid.- Architecture for a Grid Operating System.- Data Management in an International Data Grid Project.- Grid Middleware and Problem Solving Environments.- XtremWeb: Building an Experimental Platform for Global Computing.- A Grid Computing Environment for Enabling Large Scale Quantum Mechanical Simulations.- A Web-Based Metacomputing Problem-Solving Environment for Complex Applications.- Focale: Towards a Grid View of Large-Scale Computation Components.- Web Enabled Client-Server Model for Development Environment of Distributed Image Processing.- An Advanced User Interface Approach for Complex Parameter Study Process Specification on the Information Power Grid.- Grid Test-Beds and Resource Discovery.- Mini-Grids: Effective Test-Beds for GRID Application.- Configuration Method of Multiple Clusters for the Computational Grid.- A Parameter-Based Approach to Resource Discovery in Grid Computing Systems.- Application-Level Scheduling on the Grid.- Evaluation of Job-Scheduling Strategies for Grid Computing.- Experiments with Migration of Message-Passing Tasks.- Adaptive Scheduling for Master-Worker Applications on the Computational Grid.