An Approach to Dominant Resource Fairness in Distributed Environment

被引：8
|
作者：
Zhu, Qinyun [1 ]
Oh, Jae C. [1 ]
机构：
[1] Syracuse Univ, Elect Engn & Comp Sci Dept, Syracuse, NY 13244 USA
来源：
CURRENT APPROACHES IN APPLIED ARTIFICIAL INTELLIGENCE | 2015年 / 9101卷
关键词：
Dominant resource fairness; Distributed resource allocation; Distributed decision making;
D O I：
10.1007/978-3-319-19066-2_14
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We study the multi-type resource allocation problem in distributed computing environment. Current approaches that guarantee the conditions of Dominant Resource Fairness (DRF) are centralized algorithms. However, as P2P cloud systems gain more popularity, distributed algorithms that satisfy conditions of DRF are in demand. So we propose a distributed algorithm that mostly satisfies DRF conditions. According to our simulation results, our distributed dominant resource fairness algorithm outperforms a naive distributed extension of DRF.
引用
收藏
页码：141 / 150
页数：10
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