arrow
返回

DIPS: an efficient pointer swizzling strategy for incremental uncaching environments

delete2004-04-01
delete0
PRE
AI
J
Jun‐Ki Min
C
Chin‐Wan Chung
DOI:10.1016/S0164-1212(03)00047-5delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Pointer swizzling improves the performance of OODBMSs by reducing the number of table lookups. However, the object replacement incurs the unswizzling overhead. In this paper, we propose a new pointer swizzling strategy, the dynamic indirect pointer swizzling (DIPS). DIPS dynamically applies pointer swizzling techniques in order to reduce the overhead of unswizzling. DIPS uses the temporal locality information which is gathered by the object buffer manager. The information is used to select the object to whose pointers the pointer swizzling techniques are applied and to dynamically bind the pointer swizzling techniques using the virtual function mechanism. We show the efficiency of the proposed strategy through experiments over various object buffer sizes and workloads. (C) 2003 Elsevier Inc. All rights reserved.
Keyword:
databases
persistent objects
smart pointers
pointer swizzling
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Journal of Systems and Software 封面图
Journal of Systems and Software
IF:
4.1
论文数:
5.4K
被引数:
8.4K

机构

暂无机构信息
引用论文

引用论文

Investigating Bias from Missing Data in an Electronic Health Records-Based Study of Weight Loss After Bariatric Surgery
err2021-01-19
err0
PREAI
errLily Koffman; Alexander W. Levis; David Arterburn; Karen J. Coleman; Lisa J. Herrinton; Julie Cooper; John Ewing; Heidi Fischer; James R. Fraser; Eric Johnson; Brianna Taylor; Mary Kay Theis; Liyan Liu; Anita Courcoulas; Robert Li; David P. Fisher; Laura Amsden; Sebastien Haneuse
err分享
err收藏