An Effective Time-Sharing Switch Migration Scheme for Load Balancing in Software Defined Networking

IF 0.9 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Thangaraj Ethilu, Abirami Sathappan, P. Rodrigues
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引用次数: 0

Abstract

—Using distributed Software Defined Networking (SDN)control, SDN delivers additional flexibility to network management, and it has been a significant breakthrough in network innovation. Switch migration is often used for distributed controller workload balancing. The Time-Sharing Switch Migration (TSSM) scheme proposed a strategy in which multiple controllers are allowed to share the workload of a switch via time sharing during an overloaded condition, resulting in reduced ping-pong controller difficulty, fewer overload occurrences, and improved controller efficiency. However, it requires more than one controller to accomplish, it has greater migration costs and higher controller resource usage during the TSSM operating time. As a result, we presented a coalitional game strategy that optimizes controller selection throughout the TSSM phase depending on flow characteristics. The new TSSM method reduces migration costs and controller resource usage while still providing TSSM benefits. For the sake of practicality, the proposed strategy is implemented using an open network operating system. The experimental findings reveal that, as compared to the typical TSSM system, the proposed technique reduces migration costs and controller resource usage by approximately 18%.
一种用于软件定义网络负载均衡的有效分时交换机迁移方案
-使用分布式软件定义网络(SDN)控制,SDN为网络管理提供了额外的灵活性,是网络创新的重大突破。交换机迁移通常用于分布式控制器负载均衡。TSSM (time - sharing Switch Migration)方案提出了一种在过载情况下,允许多个控制器通过分时分担一个交换机的工作负载的策略,从而降低了乒乓控制器的难度,减少了过载的发生,提高了控制器的效率。但是,它需要多个控制器来完成,在TSSM运行期间,它具有更高的迁移成本和更高的控制器资源占用。因此,我们提出了一种联合博弈策略,根据流量特征优化整个TSSM阶段的控制器选择。新的TSSM方法降低了迁移成本和控制器资源的使用,同时仍然提供了TSSM的优点。为了实用,本文提出的策略在开放网络操作系统上实现。实验结果表明,与典型的TSSM系统相比,所提出的技术可将迁移成本和控制器资源使用降低约18%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Advances in Information Technology
Journal of Advances in Information Technology Computer Science-Information Systems
CiteScore
4.20
自引率
20.00%
发文量
46
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