The impact of data placement on memory management for multi-server OODBMS

S. Venkataraman, M. Livny, J. Naughton
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引用次数: 12

Abstract

We demonstrate the close relationship between data placement and memory management for symmetric multi-server OODBMS. We propose and investigate memory management algorithms for two data placement strategies, namely declustering and clustering. Through a detailed simulation, we show that by declustering the data most of the benefits of complex global memory management algorithms are realized by simple algorithms. In contrast we show that when data is clustered, the simple algorithms perform poorly.<>
数据放置对多服务器OODBMS内存管理的影响
我们演示了对称多服务器OODBMS的数据放置和内存管理之间的密切关系。我们提出并研究了两种数据放置策略的内存管理算法,即分簇和聚类。通过详细的仿真,我们表明,通过对数据进行聚类,可以通过简单的算法实现复杂全局内存管理算法的大部分优点。相反,当数据被聚类时,简单的算法表现不佳。
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