基于SDN虚拟化基础设施的能源互联网通信延迟最小化

Ardiansyah Musa Efendi, Yonghoon Choi, M. R. K. Aziz, Deokjai Choi
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引用次数: 3

摘要

软件定义网络(SDN)技术有望以鼓励积极参与构建能源互联网(EI)生态系统的方式,将能源利益相关者联系起来。但是,EI是一个非常复杂的系统,具有各种具有特定和严格功能需求的生产和非生产业务应用程序。因此,网络服务链的实现是必不可少的。目前,SDN可以与NFV (network function virtualization)技术结合,成为SDN虚拟化基础设施。NFV的作用是在统一的中间盒上提供业务功能链(SFC),而SDN的作用是在这些功能之间充当粘合剂。在本文中,我们介绍了我们在使用SDN虚拟化基础设施的EI通信的延迟最小化方面的工作。我们将这个问题作为NFV中间盒放置策略来解决,以最小化受中间盒处理能力和sdn交换机资源约束的端到端流延迟。我们研究了现有的中间盒放置方法,并提出了一种网络划分算法作为我们的启发式解决方案。结果表明,我们的方法可以显著提高延迟最小化。在两种网络拓扑下,平均时延分别比基线方法低20.19%和7.10%。我们相信本文提出的工作将有助于实现灵活和实时的EI通信基础设施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Latency Minimization for Energy Internet Communications with SDN Virtualization Infrastructure
Software-defined networking (SDN) technology is expected to be utilized to link energy stakeholders in a way that encourages active participation in building the energy internet (EI) ecosystem. However, EI is a very complex system with various production and non-production business applications that have specific and strict functional requirements. Hence, network service chaining is indispensable to be implemented. Currently, SDN can be combined with network function virtualization (NFV) technology, and they become SDN virtualization infrastructure. NFV has a role in providing service function chaining (SFC) on consolidated middleboxes, and SDN has a position as a glue between those functions. In this paper, we present our work on latency minimalization for EI communications with SDN virtualization infrastructure. We address our problem as an NFV middleboxes placement strategy to minimize the end-to-end flow latency subject to the middleboxes processing power capacity and the SDN-switch resources constraint. We investigate the existing middleboxes placement approaches and propose a network partitioning algorithm as our heuristic solution. The result shows that our approach could improve latency minimization significantly. The average latency can reach 20.19% and 7.10% lower than the baseline approach in two network topologies. We believe that the work presented in this paper will aid in realizing flexible and real-time capable EI communication infrastructure.
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