SD-ALB:数据中心网络中的软件自适应负载均衡

Riwan Fazal, S. Gilani, Muuhammad Junaid Khalid
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引用次数: 0

摘要

在数据中心网络中,网络监控对于分析底层网络的行为具有至关重要的意义。这种分析用于处理多个网络参数,负载均衡是其中之一。本文提出了一种自适应负载平衡方法来平衡服务器之间的负载,同时随着流量的变化改变其行为。软件定义网络(SDN)提供称为SDN控制器的单点网络配置。这种方法有助于在数据中心网络中轻松实现自适应负载平衡。所提出的方法是对LBBCLT负载平衡方法的扩展,该方法使用动态探测生成器探测服务器的响应时间和链路带宽。我们在其中加入了路径选择模块,并使用蚁群优化选择路径。结果表明,带宽消耗和吞吐量都得到了改善,服务器可以根据其容量接受负载。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SD-ALB: Software Defined Adaptive load balancing in Data Center Network
Network monitoring has crucial importance in data center networks to analyze the behavior of the underlying network. This analysis is used for working on multiple network parameters and load balancing is one of them. This article proposes an adaptive load-balancing approach to balance the load between the servers while changing its behavior with a change in traffic. Software Defined Networking (SDN) provides the single point of network configuration called SDN controller. This approach is facilitating the easy implementation of adaptive load balancing in Data Center Networks. The proposed approach is an extension to the LBBCLT load balancing approach that uses a dynamic probe generator to probe the servers about the response time and link bandwidth. We incorporate a path selection module in it and the path is selected using the Ant Colony Optimization. The results show that the bandwidth consumption and throughput have been improved and servers are receiving the load according to their capacities.
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