正式验证延迟感知VNF在工业物联网中的放置

G. Marchetto, R. Sisto, Jalolliddin Yusupov, A. Ksentini
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引用次数: 15

摘要

5G软件定义网络(SDN)和网络功能虚拟化(NFV)核心技术的创新应用,是工业物联网(IIoT)提高数据网络鲁棒性的关键使能技术。在工业场景中,由于对关键事件期间的端到端延迟和可靠性有严格的要求,可以利用这些技术来构建以保证延迟、抖动、丢包或冗余为特征的网络功能链(服务图)。此外,网络虚拟化提供的实时监控技术有助于减轻关键事件(例如故障或网络攻击),这些事件可以通过更新服务图和在网络中实施新策略来应对。在实践中,工业物联网应用的分布式和安全关键性质既需要跨物理分离位置智能放置服务,这对延迟有直接影响,也需要适当的策略执行系统,以保证服务的可靠性、安全性和安全性。本文通过为IIoT提出一种新颖的虚拟网络功能(VNF)放置解决方案来考虑这两个方面,该解决方案最大限度地减少了总体延迟,同时还验证了端点之间的连接或隔离等网络范围策略。特别是,这项工作依赖于SMT(可满足模理论)解算器的最新进展,该解算器正在被增强以解决最大可满足性(MaxSAT)问题。
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Formally verified latency-aware VNF placement in industrial Internet of things
The innovative applications of 5G core technologies, namely Software Defined Networking (SDN) and Network Function Virtualization (NFV), are the key enabling technologies of industrial Internet of things (IIoT) to improve data network robustness. In the industrial scenario, with strict demands on end-to-end latency and reliability during critical events, these technologies can be leveraged to construct chains of network functions (service graphs) characterized by guarantees about latency, jitter, packet loss or redundancy. Moreover, real-time monitoring techniques provided by network virtualization help in mitigating critical events (e.g. failures or network attacks), which can be faced by updating the service graph and imposing new policies in the network. In practice, the distributed and safety-critical nature of IIoT applications requires both an intelligent placement of services across physically separated locations, which has a direct impact on latency, and a proper policy enforcement system, which guarantees service reliability, safety, and security. This paper considers both aspects by proposing a novel Virtual Network Function (VNF) placement solution for IIoT that minimizes the overall latency and, at the same time, also verifies that network-wide policies such as connectivity or isolation hold between the endpoints. In particular, this work relies on recent advances in SMT (Satisfiability Modulo Theories) solvers, which are being enhanced to solve the Maximum Satisfiability (MaxSAT) problem.
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