|本期目录/Table of Contents|

[1]蔚治国.数据中心内存可扩展技术研究[J].工业仪表与自动化装置,2018,(03):20-25.[doi:1000-0682（2018）03-0000-00]
　YU Zhiguo.Research on data compression algorithm in real-time database[J].Industrial Instrumentation & Automation,2018,(03):20-25.[doi:1000-0682（2018）03-0000-00]
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数据中心内存可扩展技术研究

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2018年03期
页码:
20-25
栏目:
出版日期:
2018-06-15

文章信息/Info

Title:
Research on data compression algorithm in real-time database
作者:
蔚治国
兰州职业技术学院 电子信息工程系，兰州 730070
Author(s):
YU Zhiguo
School?of?Electronics?and?Information?Engineering,Lanzhou Vocational Technical College, Lanzhou?730070,China
关键词:
内存共享; 动态调度; 内核虚拟机; 数据中心
Keywords:
memory share;  dynamic dispatch;  kernel virtual machine;  data center
分类号:
TP368.5
DOI:
1000-0682（2018）03-0000-00
文献标志码:
A
摘要:
作为数据中心三大计算资源之一的内存，比CPU和I/O设备更难以复用，已经成为数据中心应用的性能瓶颈。针对上述问题，该文提出了虚拟机之间基于动态调度机制的内存可扩展技术。该技术通过提出虚拟机空闲内存视图以及占用内存视图，使用灵活易扩展的按需服务模式为技术基础，从而实现在保证虚拟机性能的前提下，提高内存资源的利用率。同时分析内核虚拟机（KVM）基于内容的页共享机制的不足，提出相应的解决方案，实验结果表明，内存可扩展技术可大幅减少服务器上冗余的内存页面，提高资源的利用率。
Abstract:
As one of the three key resources in datacenter, memory is more difficult to reuse, which became the main bottleneck.To handle this problem, the dynamic dispatch based memory extension technology is proposed.By proposing the active memory pool and free memory pool,flexible and scalable technology foundation for the on-demand service model is used.Kernel virtual machine(KVM) simultaneously analyze page content based insufficient sharing mechanism,propose appropriate solutions,experimental results show that memory scalable technology can significantly reduce the redundant memory pages on the server, improve resource utilization.

参考文献/References:

[1] 刘媛媛,高庆一,陈阳.虚拟计算环境下虚拟机资源负载均衡方法[J].计算机工程,2010,36(16):30-32.

[2] 管庆华,叶力旋,刘凯,等.一种基于资源池来分布式部署虚拟机的方法[J].计算机学报,2009(3):34-39.
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[5] A Arcangeli, I Eidus, C Wright. Increasing memory density by using KSM[C].Proceedings of the Linux Symposium,2009.
[6] D Gupta, S Lee, M Vrable, et al. A Vahdat. Difference engine:harnessing memory redundancy in virtual machines[J].Communications of the ACM, 2010(10): 85-93.
[7] K Li. A shared virtual memory system for parallel computing[C].The Pennsylvania State University, USA: Proceedings of the International Conference on Parallel Processing,
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[9] Hines Michael, Wang Jian, Gopalan Kartik. Distributed anemone:Transparent low-latencu access to remote memory in commodity clusters[C].Lecture Notes in Computer Science,2006.

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备注/Memo

备注/Memo:
收稿日期：2017-11-06
作者简介：蔚治国(1977),男,甘肃兰州人,副教授,硕士,计算机应用教研室主任,专业带头人,研究方向为云计算,大数据和高等教育。
更新日期/Last Update: 2018-06-15