通信学报 ›› 2014, Vol. 35 ›› Issue (7): 140-150.doi: 10.3969/j.issn.1000-436x.2014.07.017

• 论文Ⅱ • 上一篇    下一篇

面向云计算环境的动态公平性度量方法

卢笛1,马建峰2,王一川1,习宁1,孟宪佳1   

  1. 1 西安电子科技大学 计算机学院,陕西 西安 710071
    2 通信信息控制和安全技术重点实验室,浙江 嘉兴 314033
  • 出版日期:2014-07-25 发布日期:2017-06-24
  • 基金资助:
    中央高校基本科研业务费基金资助项目;国家自然基金重点资助项目;长江学者和创新团队发展计划基金资助项目

Dynamic fairness evaluation framework for cloud computing

Di LU1,Jian-feng MA2,Yi-chuan WANG1,ing XIN1,Xian-jia MENG1   

  1. 1 School of Computer Science, Xidian University, Xi′an 710071,China
    2 Science and Technology on Communication Information Security Control Laboratory,Jiaxing 314033, China
  • Online:2014-07-25 Published:2017-06-24
  • Supported by:
    The Fundamental Research Funds for the Central Universities;The Key Project of the National Natural Science Foundation of China;Supported by Program for Changjiang Scholars and Innovative Research Team in University

摘要:

针对云计算环境资源动态性特点,给出了一种资源分配算法公平性动态度量模型——DFE (dynamic fairness evaluation)。模型引入了公平、效率和时间参数,通过将资源分配结果进行量化处理,定量地描述不同分配算法的公平性。首先考虑了云环境下的2种典型动态因素:节点资源需求动态变化和虚拟节点动态变化,并分别对这2种场景建立子模型,通过这2种模型导出了DFE。分析了2种子模型以及DFE,通过DFE对几种典型资源分配算法进行度量,验证了在资源需求以及虚拟节点动态变化的情况下,DFE能够有效度量分配算法公平性。

关键词: 资源分配, 公平性评估, 云计算

Abstract:

Dynamic fairness evaluation framework (DFE) was given according to the dynamic features of resources in cloud environment. In DFE, the factors of fairness, efficiency and time were introduced, and the allocation results were processed into numeric values, which could measure the fairness of allocation algorithms quantificationally. Two typical dynamic factors in cloud environment are considered, dynamic resource demands of virtual nodes and dynamic quantity of virtual node number. Then, two sub-models are established for both of the dynamic factors, with which DFE is finally derived. Both of the sub-models and DFE are analyzed, and evaluated with several typical resource allocation algorithms. The experimental results prove that DFE can effectively provide a measurement for allocation fairness evaluation in the case of both dynamic resource demands and node number.

Key words: resource allocation, fairness evaluation, cloud computing

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