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2001

AMOS-SDDS: A Scalable Distributed Data Manager for Windows Multicomputers

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AMOS-SDDS: A Scalable Distributed Data Manager for Windows Multicomputers
Known parallel DBMS offer at present only static partitioning schemes. Adding a storage node is then a cumbersome operation that typically requires the manual data redistribution. We present an architecture termed AMOS-SDDS for a share-nothing multicomputer. We have coupled a high-performance main-memory DBMS AMOS-II and a manager of Scalable Distributed Data Structures (SDDS) into a scalable distributed system. SDDS provides the scalable data partitioning in distributed RAM, supporting parallel scans with function shipping. AMOS-SDDS couples both systems using essentially the AMOS-II foreign function interface. The scalability that appeared from our experiments abolishes the cumbersome storage limits of a single site RAM DBMS technology. Its RAM query processing and scalable data partitioning are an improvement over the current parallel DBMSs technology. We validate AMOS-SDDS architecture by experiments with distributed nested loop join queries over a file scaling up to 300.000 tuple...
Yakham Ndiaye, Aly Wane Diene, Witold Litwin, Tore
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where ISCAPDCS
Authors Yakham Ndiaye, Aly Wane Diene, Witold Litwin, Tore Risch
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