咨询与建议

限定检索结果

文献类型

  • 2 篇 期刊文献

馆藏范围

  • 2 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 2 篇 工学
    • 2 篇 计算机科学与技术...

主题

  • 2 篇 small write
  • 1 篇 hierarchy cache
  • 1 篇 in-memory system
  • 1 篇 node fail-slow
  • 1 篇 filter driver
  • 1 篇 tail latency
  • 1 篇 pagefile
  • 1 篇 erasure code
  • 1 篇 disk caching dis...

机构

  • 1 篇 beijing national...
  • 1 篇 collegeofcompute...
  • 1 篇 college of compu...
  • 1 篇 department of co...
  • 1 篇 key laboratory o...

作者

  • 1 篇 yun teng
  • 1 篇 xiechang-sheng l...
  • 1 篇 zhiyue li
  • 1 篇 jing huang
  • 1 篇 guangyan zhang

语言

  • 1 篇 英文
  • 1 篇 中文
检索条件"主题词=small write"
2 条 记 录,以下是1-10 订阅
排序:
Design and Implementation of Hierarchy Cache Using Pagefile
收藏 引用
Wuhan University Journal of Natural Sciences 2004年 第6期9卷 890-894页
作者: XIEChang-sheng LIURui-fang TANZhi-hu CollegeofComputerScienceandTechnology HuazhongUniversityofScienceandTechnologyWuhan430074HubeiChina
This paper presents a novel hierarchy cache architecture for the purpose of optimizing IO performance. The main idea of the hierarchy cache is to use a few megabytes of RAM and a pagefile to form a two-level cache arc... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论
Short Tail:taming tail latency for erasure-code-based in-memory systems
收藏 引用
Frontiers of Information Technology & Electronic Engineering 2022年 第11期23卷 1646-1657页
作者: Yun TENG Zhiyue LI Jing HUANG Guangyan ZHANG College of Computer Science and Technology Jilin UniversityChangchun 130012China Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin UniversityChangchun 130012China Beijing National Research Center for Information Science and Technology(Tsinghua University) Beijing 100084China
In-memory systems with erasure coding(EC)enabled are widely used to achieve high performance and data ***,as the scale of clusters grows,the server-level fail-slow problem is becoming increasingly frequent,which can c... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论