计算机科学 ›› 2011, Vol. 38 ›› Issue (2): 103-105.
• 计算机网络与信息安全 • 上一篇 下一篇
刘君，王恩泽，乔建忠，林树宽
出版日期:
发布日期:
基金资助:
LIU Jun,WANG En-ze,QIAO Jian-zhong,LIN Shu-kuan
Online:
Published:
摘要： 对以充分利用空闲资源为目的的分布式计算环境来说，可用节点具有波动性，网络环境具有不确定性，从而影响计算效率。提出一种基于超边际分析的分布式计算资源分配方法，该方法把计算任务分配到具有比较优势的节点，选择执行能力更强的节点进行计算，提高了分布式计算环境中资源分配的效率。仿真结果表明此方法合理、有效，适用于分布式计算环境。
关键词: 超边际分析，分布式计算，资源分配
Abstract: The key of distributed computing is to fully utilize computing resources. However, the efficiency of distributed computing can always be affected by volatility of available nodes and uncertainty of network environment In order to enhance resource allocation efficiency in distributed computing, this paper presented an inframarginal analysis based resource allocation method, which distributes computing task to the node with more comparative advantage carrying on the task. Simulation results proved that it is effective on resource allocation in the distributed computing environment.
Key words: Inframarginal analysis, Distributed computing, Resources allocation
刘君，王恩泽，乔建忠，林树宽. 基于超边际分析的分布式资源分配模型[J]. 计算机科学, 2011, 38(2): 103-105. https://doi.org/
LIU Jun,WANG En-ze,QIAO Jian-zhong,LIN Shu-kuan. Inframarginal Analysis Based Resource Allocation Method in Distributed Computing[J]. Computer Science, 2011, 38(2): 103-105. https://doi.org/
0 / / 推荐
导出引用管理器 EndNote|Reference Manager|ProCite|BibTeX|RefWorks
链接本文: https://www.jsjkx.com/CN/
https://www.jsjkx.com/CN/Y2011/V38/I2/103
Cited
首页