The virtual data grid: a new model and architecture for data-intensive collaboration

Authors:
Ian Foster
Affiliations:
Argonne National Laboratory, University of Chicago
Venue:
SSDBM '03 Proceedings of the 15th International Conference on Scientific and Statistical Database Management
Year:
2003

Citing 0
Cited 15

Data integration in a bandwidth-rich world

Communications of the ACM - Blueprint for the future of high-performance networking
Grid middleware services for virtual data discovery, composition, and integration

MGC '04 Proceedings of the 2nd workshop on Middleware for grid computing
GEL: Grid execution language

Journal of Parallel and Distributed Computing
Tracing lineage beyond relational operators

VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Experience in using a process language to define scientific workflow and generate dataset provenance

Proceedings of the 16th ACM SIGSOFT International Symposium on Foundations of software engineering
Data-intensive computing for competent genetic algorithms: a pilot study using meandre

Proceedings of the 11th Annual conference on Genetic and evolutionary computation
A general approach to data-intensive computing using the Meandre component-based framework

Proceedings of the 1st International Workshop on Workflow Approaches to New Data-centric Science
Research issues in data provenance

Proceedings of the 48th Annual Southeast Regional Conference
Automatic generation of workflow provenance

IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
Applying provenance in distributed organ transplant management

IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
Towards low overhead provenance tracking in near real-time stream filtering

IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
Issues in automatic provenance collection

IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
An identity crisis in the life sciences

IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
Meandre data-intensive application infrastructure: extreme scalability for cloud and/or grid computing

JSAI-isAI'10 Proceedings of the 2010 international conference on New Frontiers in Artificial Intelligence
Enhancing the core scientific metadata model to incorporate derived data

Future Generation Computer Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

OLAP(On-Line Analytical Processing) servers usually precompute data cubes to improve the response time of possible aggregate queries over cuboids with different grouping attributes. To reduce the huge size of a sparse data cube, the base single tuples ...