Parallel database systems: the future of high performance database systems
Communications of the ACM
Parallel database systems: open problems and new issues
Distributed and Parallel Databases - Special issue: Research topics in distributed and parallel databases
IBM Systems Journal
Interconnecting shared-everything systems for efficient parallel query processing
PDIS '91 Proceedings of the first international conference on Parallel and distributed information systems
A Performance Comparison of Two Architectures for Fast Transaction Processing
Proceedings of the Fourth International Conference on Data Engineering
Parallel Database Systems: the case for shared-something
Proceedings of the Ninth International Conference on Data Engineering
Parallel Database Systems: the case for shared-something
Proceedings of the Ninth International Conference on Data Engineering
NCR 3700 - The Next-Generation Industrial Database Computer
VLDB '93 Proceedings of the 19th International Conference on Very Large Data Bases
Testing for termination of asynchronous parallel computations
ACM-SE 36 Proceedings of the 36th annual Southeast regional conference
Memory Aware Query Routing in Interactive Web-Based Information Systems
BNCOD 18 Proceedings of the 18th British National Conference on Databases: Advances in Databases
Survey of Architectures of Parallel Database Systems
Programming and Computing Software
Parallel querying with non-dedicated computers
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Data Parallel Bin-Based Indexing for Answering Queries on Multi-core Architectures
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Architecture of highly available databases
ISAS'04 Proceedings of the First international conference on Service Availability
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In a 'shared-nothing' parallel computer, each processor has its own memory and disks and processors communicate by passing messages through an interconnect. Many academic researchers, and some vendors, assert that shared-nothingness is the 'consensus' architecture for parallel DBMSs. This alleged consensus is used as a justification for simulation models, algorithms, research prototypes and even marketing campaigns.We argue that shared-nothingness is no longer the consensus hardware architecture and that hardware resource sharing is a poor basis for categorising parallel DBMS software architectures if one wishes to compare the performance characteristics of parallel DBMS products.