1) Dat a buffer system
数据缓存系统
2) data cache
数据缓存
1.
OLAP system based on object pool and data cache technology in Web environment;
Web环境下基于对象池和数据缓存技术的OLAP系统
2.
Web-OLAP System Based on Object Pool and Data Cache Technique;
基于对象池与数据缓存技术的Web-OLAP系统
3.
Application of data cache in real estate registration management system
房产产权产籍系统中数据缓存的应用
3) data buffer
数据缓存
1.
The Realization of Web Application System to Data Buffer Technology of Based on ASP.NET
ASP.NET上的Web应用系统对数据缓存技术的实现
2.
During the image,grabbing,the most important thing is the system s real time,Based on these,the plans of hardware s realization and modules realized in FPGA are presented,and in detail the data buffer in FPGA and transferring high speed data by LVDS signal are discussed.
在此给出了系统的硬件实现框图以及FPGA的内部模块框图,介绍了如何在FPGA内部实现数据缓存以及通过LVDS信号来实现高速率数据传输。
3.
After analizing the primary method in the world,the paper brought forward the design schema about heterogeneous data unilateral synchronizer based on data buffer.
文章在分析了国内外主要的数据同步方法之后,提出了利用数据缓存实现异构数据单向同步的设计方案,并在两个正在运行的业务系统中的ORACLE和SQL Server数据上实施了一个异构数据毫秒级的实时同步系统。
6) caching system
缓存系统
1.
In this paper we proposed a high speed data transmission solution based on Ethernet interface and Linux OS in which a transfer caching system is introduced.
木文提出了一种基于Linux和以太网的数据获取方案,通过在探测器和重建计算机之间引入投影数据缓存系统,较好地解决了重建计算机和CT采集模块间由于实时性能差异所造成的通讯不稳定和数据丢失。
2.
In this paper, the web caching system based on concentrated management is improved, and genetic algorithm is applied in finding the best route of downloading, which both resolves the problem of unnecessary waste of bandwidth in the constant conversations among all cache servers in the process of traditional web caching and increases the speed of downloading.
本文对集中管理式Web缓存系统进行了改进,应用遗传算法寻找下载的最优路径,既解决了传统的Web高速缓存(WebCaching)中存在的各缓存服务器之间因不断对话而牺牲不必要带宽的问题,又增加了下载速度。
3.
This paper introduces P2P caching systems to optimize network traffic.
本文介绍了一种P2P流量优化技术——P2P缓存系统。
补充资料：数据缓存
指在硬盘内部的高速存储器，在电脑中就象一块缓冲器一样将一些数据暂时性的保存起来以供读取和再读取。目前硬盘的高速缓存一般为512KB—2MB，目前主流ATA硬盘的数据缓存为2MB，而在SCSI硬盘中最高的数据缓存现在已经达到了16MB。对于大数据缓存的硬盘在存取零散文件时具有很大的优势。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条