A case for redundant arrays of inexpensive disks (RAID)
SIGMOD '88 Proceedings of the 1988 ACM SIGMOD international conference on Management of data
Encapsulation of parallelism in the Volcano query processing system
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
Query evaluation techniques for large databases
ACM Computing Surveys (CSUR)
Parallelism in relational database management systems
IBM Systems Journal
Readings in database systems (3rd ed.)
Performance of an OLTP application on symmetry multiprocessor system
ISCA '90 Proceedings of the 17th annual international symposium on Computer Architecture
Operating system support for database management
Communications of the ACM
Interconnecting shared-everything systems for efficient parallel query processing
PDIS '91 Proceedings of the first international conference on Parallel and distributed information systems
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
Effectiveness of Parallel Joins
IEEE Transactions on Knowledge and 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
An Analysis of Three Transaction Processing Architectures
VLDB '88 Proceedings of the 14th International Conference on Very Large Data Bases
VLDB '88 Proceedings of the 14th International Conference on Very Large Data Bases
Dynamic Load Balancing in Hierarchical Parallel Database Systems
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Operating System Support for a Parallel DBMS with an Hierarchical Shared-Nothing Architecture
ADBIS '99 Proceedings of the Third East European Conference on Advances in Databases and Information Systems
Concurrent Programming Technologies and Techniques
Programming and Computing Software
Survey of Architectures of Parallel Database Systems
Programming and Computing Software
Query processing in a DBMS for cluster systems
Programming and Computing Software
Query evaluation techniques for cluster database systems
ADBIS'10 Proceedings of the 14th east European conference on Advances in databases and information systems
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The development of database systems with hierarchical hardware architecture is currently a perspective trend in the field of parallel database machines. Hierarchical architectures have been suggested with the aim to combine advantages of shared-nothing architectures and architectures with shared memory and disks. A commonly accepted way of construction of hierarchical systems is to combine shared-memory (shared-everything) clusters in a unique system without shared resources. However, such architectures cannot ensure data accessibility under hardware failures on the processor cluster level, which limits their use in systems with high fault-tolerance requirements. In this paper, an alternative approach to construction of hierarchical systems is suggested. In accordance with this approach, the systems is constructed as an assembly of processor clusters with shared disks, with each cluster being a two-level multiprocessor structure with a standard strongly connected topology of interprocessor connections. A stream model for organization of parallel query processing in systems with the hierarchical architecture suggested is described. This model has been implemented in a prototype parallel database management system Omega designed for Russian multiprocessor computational systems MBC-100/1000. Our experiments show that the total performance of the processor clusters in the Omega system is comparable with that of the processor clusters with shared resources even in the case of great data skew. At the same time, the clusters of the Omega system are capable of ensuring a higher degree of data availability compared to the clusters with shared-memory architectures.