Principles of distributed database systems
Principles of distributed database systems
Building the data warehouse (2nd ed.)
Building the data warehouse (2nd ed.)
Distributed and parallel database systems
ACM Computing Surveys (CSUR)
Communications of the ACM
Snakes and sandwiches: optimal clustering strategies for a data warehouse
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Update propagation protocols for replicated databates
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Encoded Bitmap Indexing for Data Warehouses
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Cache-Aware Query Routing in a Cluster of Databases
Proceedings of the 17th International Conference on Data Engineering
Fast Algorithms for Maintaining Replica Consistency in Lazy Master Replicated Databases
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
OLAP Query Evaluation in a Database Cluster: A Performance Study on Intra-Query Parallelism
ADBIS '02 Proceedings of the 6th East European Conference on Advances in Databases and Information Systems
Data placement in shared-nothing parallel database systems
The VLDB Journal — The International Journal on Very Large Data Bases
Working Together in Harmony - An Implementation of the CORBA Object Query Service and its Evaluation
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Performance evaluation of distributed database on PC cluster computers
WSEAS Transactions on Computers
Private cloud computing techniques for inter-processing bioinformatics tools
ICHIT'11 Proceedings of the 5th international conference on Convergence and hybrid information technology
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As the overall amount of data increases rapidly in most areas of business, performance of complex OLAP queries used in significant decision-making support has been in decline. To overcome this challenge, most companies invest more in their hardware infrastructure. We propose a high performance database cluster system called HyperDB to solve this performance issue. HyperDB is a virtual database system running on top of internet-connected PCs; the PCs are used for their own purposes at ordinary times, but they are able to participate in a database cluster system during non-office hours. Note that conventional database cluster systems use a static number of tightly-coupled dedicated nodes, and therefore there is almost no such flexibility and extensibility. We propose a logical full replication technique and an inter-intra mixed query routing technique for extensibility and performance. Note that both techniques are known as difficult problems within the conventional database cluster systems. Experiments on the TPC-R benchmark shows significant performance increases compared with conventional approaches.