CASM: A Cost-Aware Switch Migration Strategy for Elastic Optical Inter-Datacenter Networks

被引:3
|
作者
Liu, Yong [1 ]
Meng, Qian [2 ]
Shen, Zhonghua [2 ]
Yan, Fulong [3 ]
机构
[1] Hangzhou Normal Univ, Sch Informat Sci & Technol, Hangzhou 311121, Peoples R China
[2] Hangzhou Normal Univ, Sch Math, Hangzhou 311121, Peoples R China
[3] Alibaba Grp, Alibaba Cloud, Beijing 100102, Peoples R China
基金
中国博士后科学基金;
关键词
elastic optical networks; controller deployment; switch migration; load balancing; migration cost; ALLOCATION;
D O I
10.3390/photonics9050315
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
In inter-datacenter elastic optical networks, multi-controller deployment is adopted to improve the stability and scalability of the control plane. As the network scale increases, the traditional multi-controller deployment scheme ignores the dynamic characteristics of traffic, resulting in unbalanced load among multiple controllers. In response to this problem, the existing switch migration mechanism is proposed to achieve balanced distribution of control loads. However, most of the existing research work does not consider the additional cost of switch migration, and the load balancing performance of the controller is not significantly improved after switch migration. In this paper, we propose a cost-aware switch migration (CASM) strategy for controller load balancing. The proposed CASM strategy first measures the controller load through multiple performance indicators that affect the controller load, and then judges whether the controller is overloaded or underloaded based on the controller's response time to the request message, thereby improving the load balancing performance of the controller. Additionally, when selecting the switch to be migrated, the CASM selects the optimal switch for migration based on minimizing the migration cost, thereby reducing the cost of switch migration. The performance evaluation shows that CASM significantly improves load balancing performance of controllers and reduces the migration cost compared to existing solutions.
引用
收藏
页数:16
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