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Abstract: Traditionally, database systems have been implemented using a client-server architecture. Under heavy loads, the server experiences both CPU and I/O bottlenecks. One promising solution to this problem is to replace a single processor server with a cluster of servers. The goal of this thesis is to develop buffer management algorithms that exploit the aggregate memory capacity in such a server cluster to attack the I/O bottleneck. The thesis addresses two key issues: 1) utilizing idle memory in... (Update)
Context of citations to this paper: More
...O. The other significant benefit is in the ability to harness more physical memory (buffer space) across the nodes for the same dataset [16], which can reduce I O further. The downside is the additional communication that may be incurred. We find that the benefits outweigh the...
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BibTeX entry: (Update)
S. Venkatarman. Global memory management for multi-server database systems. Technical Report CS-TR-1996-1325, Univ. of Wisconsin, 1996. http://citeseer.ist.psu.edu/venkatarman96global.html More
@techreport{ venkatarman96global,
author = "Shivakumar Venkatarman",
title = "Global Memory Management for Multi-Server Database Systems",
number = "CS-TR-1996-1325",
year = "1996",
url = "citeseer.ist.psu.edu/venkatarman96global.html" }
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