Parallel database systems: the future of high performance database systems
Communications of the ACM
Parallel sorting by regular sampling
Journal of Parallel and Distributed Computing
An array-based algorithm for simultaneous multidimensional aggregates
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
High performance multidimensional analysis of large datasets
Proceedings of the 1st ACM international workshop on Data warehousing and OLAP
Bottom-up computation of sparse and Iceberg CUBE
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Automating physical database design in a parallel database
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Distributed and Parallel Databases - Special issue: Parallel and distributed data mining
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Prototyping Bubba, A Highly Parallel Database System
IEEE Transactions on Knowledge and Data Engineering
The Gamma Database Machine Project
IEEE Transactions on Knowledge and Data Engineering
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Total
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Data partitioning and load balancing in parallel disk systems
The VLDB Journal — The International Journal on Very Large Data Bases
Parallel ROLAP Data Cube Construction on Shared-Nothing Multiprocessors
Distributed and Parallel Databases
Parallel SQL execution in Oracle 10g
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
OS support for a commodity database on PC clusters: distributed devices vs. distributed file systems
ADC '05 Proceedings of the 16th Australasian database conference - Volume 39
Physical and Virtual Partitioning in OLAP Database Clusters
SBAC-PAD '05 Proceedings of the 17th International Symposium on Computer Architecture on High Performance Computing
The cgmCUBE project: Optimizing parallel data cube generation for ROLAP
Distributed and Parallel Databases
CURE for cubes: cubing using a ROLAP engine
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
MAPFS-DAI, an extension of OGSA-DAI based on a parallel file system
Future Generation Computer Systems - Special section: Data mining in grid computing environments
Mapgraph: efficient methods for complex olap hierarchies
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Rk-hist: an r-tree based histogram for multi-dimensional selectivity estimation
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
The end of an architectural era: (it's time for a complete rewrite)
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
A hilbert space compression architecture for data warehouse environments
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
Exploiting data access for dynamic fragmentation in data warehouse
International Journal of Intelligent Information and Database Systems
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Online Analytical Processing (OLAP) has become a primary component of today's pervasive Decision Support systems. As the underlying databases grow into the multi-terabyte range, however, single CPU OLAP servers are being stretched beyond their limits. In this paper, we present a comprehensive model for a fully parallelized OLAP server. Our multi-node platform actually consists of a series of largely independent sibling servers that are ''glued'' together with a lightweight MPI-based Parallel Service Interface (PSI). Physically, we target the commodity-oriented, ''shared nothing'' Linux cluster, an architecture that provides an extremely cost effective alternative to the ''shared everything'' commercial platforms often used in high-end database environments. Experimental results demonstrate both the viability and robustness of the design.