Data center traffic scheduling strategy based on Fibonacci tree optimization algorithm

Yaomin WANG; Xia WANG; Yi DONG; Songhai ZHANG; Xinling SHI

doi:10.11959/j.issn.1000-436x.2020075

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Data center traffic scheduling strategy based on Fibonacci tree optimization algorithm

Papers | 更新时间：2024-06-05

- Data center traffic scheduling strategy based on Fibonacci tree optimization algorithm
- Journal on Communications Vol. 41, Issue 6, Pages: 112-127(2020)
- 作者机构：
  
  1. 云南大学信息学院，云南昆明 650504
  2. 中国电信股份有限公司昆明分公司，云南昆明 650051
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(81771928);The National Natural Science Foundation of China(61561049)
- DOI：10.11959/j.issn.1000-436x.2020075
  CLC： TP393
- Online First：2020-06，
  
  Published：25 June 2020
- 稿件说明：
移动端阅览
Yaomin WANG, Xia WANG, Yi DONG, et al. Data center traffic scheduling strategy based on Fibonacci tree optimization algorithm[J]. Journal on Communications, 2020, 41(6): 112-127.
DOI：

Yaomin WANG, Xia WANG, Yi DONG, et al. Data center traffic scheduling strategy based on Fibonacci tree optimization algorithm[J]. Journal on Communications, 2020, 41(6): 112-127. DOI： 10.11959/j.issn.1000-436x.2020075.

摘要

为提高运营商数据中心流量调度能力，同时考虑网络结构和网络流量两方面因素，设计了一种软件定义网络（SDN）架构数据中心的流量分析预测在线调度机制。针对数据中心流量调度的多维、多约束和多模态问题，提出基于斐波那契树优化（FTO）算法的流量调度策略，将 FTO 算法嵌入分析预测和在线调度 2 个阶段，发挥FTO算法全局局部交替迭代寻优和多模特性，得到流量调度的最优解和多个有价值的次优解。模拟平台验证表明， FTO流量调度策略能够对数据中心流量进行合理调度，有效提升运营商数据中心网络的负载均衡能力。

Abstract

To improve traffic scheduling capabilities in network provider data centers

both network structure and network traffic flow were considered at the same time.The analysis prediction and online scheduling mechanism was proposed in data center based on software defined networking (SDN).Aiming at the multi-dimensional

multi-constrained and multi-modal problems of traffic flow scheduling in data centers

the traffic flow scheduling strategy based on Fibonacci tree optimization (FTO) algorithm was proposed.FTO algorithm was embedded into two stages of analysis prediction and online scheduling

took it advantage of global local alternating and multi-model optimization characteristics

the optimal solution and suboptimal solutions of traffic scheduling had been got at one time.The emulator result shows that

the FTO traffic scheduling strategy can schedule traffic in data centers reasonably

which improves the load balancing capability of network providers' data centers effectively.

关键词

Keywords

references

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