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2000

Scalable Distributed Data Structures for High-Performance Databases

13 years 5 months ago
Scalable Distributed Data Structures for High-Performance Databases
Present databases, whether on centralized or parallel DBMSs, do not deal well with scalability. We present an architecture for Wintel multicomputers termed AMOS-SDDS, coupling a high-performance main-memory DBMS AMOS-II and a manager of Scalable Distributed Data Structures SDDS-2000. SDDS-2000 provides the scalable data partitioning in distributed RAM, supporting parallel scans with function shipping. AMOS-SDDS potentially allows for scalable data volumes arbitrarily exceeding the storage capacities of a single AMOS-II. We validate our system by experiments with join queries. We show a 30% improvement of response time even for volumes of data that AMOS-II still could manage alone at its site. The results encourage the use of multicomputers for high-performance databases. Key words: Multicomputer, scalability, distributed data structures, parallel processing
Yakham Ndiaye, Aly Wane Diene, Witold Litwin, Tore
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2000
Where WDAS
Authors Yakham Ndiaye, Aly Wane Diene, Witold Litwin, Tore Risch
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