| P. Boncz, F. Kwakkel, and M. L. Kersten. High performance support for OO traversals in Monet. In British National Conference on Databases, pages 152--169, Edinburgh, UK, July 1996. |
....in databases is concentrated on relational database systems, e.g. on parallel database system development, data partitioning techniques, and parallel join algorithms. Little effort has been focused on object databases, and the work done so far is limited. For example, the Monet database system [2] does not exploit inter operator pipeline parallelism. One of the aims of the Polar Project [13] is to build a parallel optimizer and query evaluator for an object oriented database system, to be run over an ODMG [3] database server on a low cost parallel platform based on PCs connected through ....
P. Boncz, F. Kwakkel, and M. L. Kersten. High performance support for OO traversals in Monet. In British National Conference on Databases, pages 152--169, Edinburgh, UK, July 1996.
....Monet to benefit most from modern computers cache line behavior, on the expense of that intermediate results are fully materialized. Monet is heavily used in Data Mining applications[HKM95] and GIS[BQK96] and its supreme performance has been demonstrated against several benchmarks, including OO7[BKK96] and TPCD [BWK98] The current implementation runs on workstations and exploits parallelism of SMP machines. However, shared memory computers provide limited means to scale. Therefore, several activities are underway to exploit MPP (Massivly Parallel Processing) machines to deal with TeraByte ....
Peter A. Boncz, F. Kwakkel, and Martin L. Kersten. High Performance Support for OO Traversals in Monet. In British National Conference on Databases(BNCOD'96), 1996.
....in the 70s can be regarded as preliminary steps to improve the cell s memory. 13 The declarative model underlying the interrogation of the cell s memory sequence is a natural extension to SQL and logic based systems. Modern prototype database engines to be considered are Lore [Lore97] and Monet[BQK96, BKK96, BWK98]. They provide a lean implementation to start from. Furthermore, Java beans technology may be a pivot in realisation of cells with a small footprint. Likewise, the problems posed by cloning find their analogy in distributed belief systems. Recent developments in agent technology, especially the ....
....that results from the membrane replication, may use techniques from distributed computation models, such as explored in Linda [Gel85] The temporal aspects of the memory sequence can be borrowed from [Snod94] 6. Conclusion This paper is written at a time that deployment of our Monet system [BQK96, BKK96, BWK98] is in full swing and it capitalizes experience gained in producing several other full fledged systems [WKSP86, PRISMA92] It aligns with trends of commercial DBMS providers, who have already recognized the limited growth in their core products and embrace complementary solutions, e.g. Sybase with ....
P. Boncz, F. Kwakkel, M.L. Kersten. High performance support for O-O traversal in Monet. In proc. BNCOD'96, Edingburgh (UK), July 1996.
....Finally, Section 7 summarizes and concludes the paper. 2 Monet Monet is an extensible parallel database kernel that has been developed at the UvA and CWI since 1993. Monet has already achieved considerable successes in Data Mining [HKM95] for supporting GIS data [BQK96] and OO traversals [BKK96]. The design of Monet is based on trends in hardware technology: main memories of hundreds of megabytes are now affordable, and custom CPUs can perform over 200 MIPS. Since magnetic storage gets bigger but not faster, this means that IO is increasingly becoming a barrier in processing. Also, in ....
....Solaris increasingly provide hooks for better memory and process management. 1 Two Dutch universities and the CWI cooperate in Magnum research project, which studies object database technology in the context of geographical applications. 2 Results in this area have already been reported in [BKK96]. The incorporation of new datatypes like GIS data or multimedia types image, audio and video, has led to a steep increase in data volumes in databases. This causes tuples to grow wide, while a decreasing percentage of IO is really useful in queries that mainly access the small standard data ....
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P. A. Boncz, F. Kwakkel & M. L. Kersten, "High Performance support for OO traversals in Monet," in Proceedings British National Conference on Databases (BNCOD96) 1996.
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P. Boncz, F. Kwakkel, and M. L. Kersten. High performance support for OO traversals in Monet. In British National Conference on Databases, pages 152--169, Edinburgh, UK, July 1996.
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