Grid Computing - GRID 2001 : ; proceedings second international workshop, Denver, CO, USA, November 12, 2001
The term "grid computing" is based on an analogy with the electrical power grid: computing capabilities should be ubiquitous and easy to use. While the development of what we now call grid computing is, in many ways, part of a natural progression of work done in the last decade, what'...
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| Awduron Eraill: | |
| Fformat: | Livre numérique |
| Iaith: | Anglais |
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Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Cyfres: | Lecture notes in computer science
2242 |
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| Edition sous un autre format: | • Grid computing - GRID 2001, second international workshop, Denver, CO, USA, November 12, 2001, Craig A. Lee (ed.), Berlin, Springer, 2001, 1 vol. (XII-184 p.), Lecture notes in computer science, 3-540-42949-2 • Grid Computing - GRID 2001, Texte imprimé, 9783662195017 |
Tabl Cynhwysion:
- Invited Presentation
- Grid Application Design Using Software Components and Web Services
- Object Middleware
- Design and Implementation of a CORBA Commodity Grid Kit
- Towards High Performance CORBA and MPI Middlewares for Grid Computing
- An Integrated Grid Environment for Component Applications
- Resource Discovery and Management
- KNOWLEDGE GRID: High Performance Knowledge Discovery Services on the Grid
- On Fully Decentralized Resource Discovery in Grid Environments
- An Adaptive Service Grid Architecture Using Dynamic Replica Management
- Identifying Dynamic Replication Strategies for a High-Performance Data Grid
- Scheduling
- Ensemble Scheduling: Resource Co-Allocation on the Computational Grid
- JobQueue: A Computational Grid-Wide Queuing System
- A Scheduling Model for Grid Computing Systems
- Grid Architecture and Policies
- Exposed versus Encapsulated Approaches to Grid Service Architecture
- A Methodology for Account Management in Grid Computing Environments
- Policy Engine: A Framework for Authorization, Accounting Policy Specification and Evaluation in Grids
- Performance and Practice
- Performance Contracts: Predicting and Monitoring Grid Application Behavior
- Production-Level Distributed Parametric Study Capabilities for the Grid
- The DO Experiment Data Grid SAM.