基于斐波那契树优化算法的数据中心流量调度策略
Data center traffic scheduling strategy based on Fibonacci tree optimization algorithm
- 通信学报 2020年41卷第6期 页码：112-127
- 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：
[ "王耀民（1986- ），男，云南昆明人，云南大学博士生，主要研究方向为数据中心、软件定义网络、智能优化算法" ]
[ "王霞（1985- ），女，云南保山人，云南大学博士生，主要研究方向为信号系统、智能优化算法" ]
[ "董易（1985- ），男，云南保山人，云南大学博士生，主要研究方向为信号系统、智能优化算法" ]
[ "张松海（1991- ），男，云南昆明人，云南大学硕士生，主要研究方向为智能优化算法" ]
[ "施心陵（1956- ），男，云南昆明人，云南大学教授、博士生导师，主要研究方向为信号处理与信息系统、智能优化算法" ]
- 基金信息：国家自然科学基金资助项目(81771928);国家自然科学基金资助项目(61561049)
DOI：10.11959/j.issn.1000-436x.2020075
中图分类号： TP393-
网络首发：2020-06，
纸质出版：2020-06-25
- 稿件说明：
移动端阅览
王耀民, 王霞, 董易, 等. 基于斐波那契树优化算法的数据中心流量调度策略[J]. 通信学报, 2020,41(6):112-127.
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.
王耀民, 王霞, 董易, 等. 基于斐波那契树优化算法的数据中心流量调度策略[J]. 通信学报, 2020,41(6):112-127. DOI： 10.11959/j.issn.1000-436x.2020075.
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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