Parallel database systems: the future of high performance database systems
Communications of the ACM
Efficient run-time support for irregular block-structured applications
Journal of Parallel and Distributed Computing - Special issue on irregular problems in supercomputing applications
The state of the art in distributed query processing
ACM Computing Surveys (CSUR)
Distributed processing of very large datasets with DataCutter
Parallel Computing - Clusters and computational grids for scientific computing
Multiple Query Optimization for Data Analysis Applications on Clusters of SMPs
CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
PVFS: a parallel file system for linux clusters
ALS'00 Proceedings of the 4th annual Linux Showcase & Conference - Volume 4
Driving scientific applications by data in distributed environments
ICCS'03 Proceedings of the 2003 international conference on Computational science
Future Generation Computer Systems
A novel approach to resource scheduling for parallel query processing on computational grids
Distributed and Parallel Databases
Self-optimizing block transfer in web service grids
Proceedings of the 9th annual ACM international workshop on Web information and data management
A control theoretical approach to self-optimizing block transfer in Web service grids
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Optimizing multiple queries on scientific datasets with partial replicas
GRID '07 Proceedings of the 8th IEEE/ACM International Conference on Grid Computing
Future Generation Computer Systems
Towards dynamic data-driven management of the ruby gulch waste repository
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
Servicing seismic and oil reservoir simulation data through grid data services
DMG 2005 Proceedings of the First VLDB conference on Data Management in Grids
Supporting SQL-3 aggregations on grid-based data repositories
LCPC'04 Proceedings of the 17th international conference on Languages and Compilers for High Performance Computing
Towards dynamic data-driven optimization of oil well placement
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
On optimizing workflows using query processing techniques
SSDBM'12 Proceedings of the 24th international conference on Scientific and Statistical Database Management
Adaptive memory-aware chunk sizing techniques for data-intensive queries over web services
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Future Generation Computer Systems
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There is a rapidly growing set of applications, referredto as data driven applications, in which analysis of largeamounts of data drives the next steps taken by the scientist,e.g., running new simulations, doing additional measurements,extending the analysis to larger data collections.Critical steps in data analysis are to extract the data of interestfrom large and potentially distributed datasets andto move it from storage clusters to compute clusters forprocessing. We have developed a middleware framework,called GridDB-Lite, that is designed to efficiently supportthese two steps. In this paper, we describe the applicationof GridDB-Lite in large scale oil reservoir simulation studiesand experimentally evaluate several optimizations thatcan be employed in the GridDB-Lite runtime system.