Utilizing widely distributed computational resources efficiently with execution domains

Computer Physics Communications

Volumn 140, Issue 1-2, 2001, Pages 246-252

  Basney, Jim ^a   Livny, Miron ^a   Mazzanti, Paolo ^b  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

Checkpointing; Cluster computing; Computational grids; Condor; High throughput computing; Network scheduling; Remote I O

Indexed keywords

COMPUTATIONAL METHODS; DATA HANDLING; DATA STRUCTURES; DISTRIBUTED DATABASE SYSTEMS; PROGRAM PROCESSORS; WIDE AREA NETWORKS;

CENTRAL PROCESSING UNITS (CPU);

DISTRIBUTED COMPUTER SYSTEMS;

EID: 0035886958     PISSN: 00104655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0010-4655(01)00276-4     Document Type: Conference Paper

References (8)

1. NASA's information power grid: Distributed high-performance computing and large-scale data management for science and engineering
2. High throughput Monte Carlo
3. The data grid: Towards an architecture for the distributed management and analysis of large scientific datasets
4. Improving goodput by co-scheduling CPU and network capacity
5. Condor on WAN
6. Matchmaking: An extensible framework for distributed resource management
7. GASS: A data movement and access service for wide area computing systems