| 基于Eucalyptus 网站云的资源调度 |
| |
| 引用本文： | 刘子锋,范冰冰,郑伟平.基于Eucalyptus 网站云的资源调度[J].计算机系统应用,2012,21(10):174-178. |
| |
| 作者姓名： | 刘子锋 范冰冰 郑伟平 |
| |
| 作者单位： | 华南师范大学计算机学院,广州510631 |
| |
| 摘 要： | 网站云是一种多租户的云部署架构.研究了基于Eucalyptus实现的网站云资源综合调度策略,提出了以HTTP请求为细粒度任务的贪婪调度算法,并引入了带权机器学习算法模型,使系统能主动感知请求高峰并进行负载均衡.实验证明达到了较理想效果.
|
| 关 键 词： | 网站云 Eucalyptus 调度策略 机器学习 |
| 收稿时间： | 2012/2/22 0:00:00 |
| 修稿时间： | 4/4/2012 12:00:00 AM |
Research of Resources Scheduling of Eucalyptus-based Website Cloud |
| |
| LIU Zi-Feng,FAN Bing-Bing and ZHENG Wei-Ping.Research of Resources Scheduling of Eucalyptus-based Website Cloud[J].Computer Systems& Applications,2012,21(10):174-178. |
| |
| Authors: | LIU Zi-Feng FAN Bing-Bing and ZHENG Wei-Ping |
| |
| Affiliation: | (School of Computer, South China Normal University, Guangzhou 510631, China) |
| |
| Abstract: | Website cloud is a multi-tenant cloud deployment architecture. This thesis studies the resources scheduling policy of the Eucalyptus-based website cloud, and the HTTP request as f＇me-grained task for the greedy scheduling algorithm. It also discusses the model of weighted machine learning algorithms, that the system can take the initiative to perceive the request peak and load balancing. Experiments show that the ideal. |
| |
| Keywords: | website cloud Eucalyptus scheduling policy machine learning |
| 本文献已被 CNKI 维普 等数据库收录！ |
| 点击此处可从《计算机系统应用》浏览原始摘要信息 |
|
点击此处可从《计算机系统应用》下载全文 |
|
