SDN/NFV Based Internet of Things for Multi-Tenant Networks

Abstract

The Internet of Things (IoT) refers to variety of smart devices such as smartphones, tablets, and sensors that can interact and exchange of data among devices through the Internet. The diversity of IoT devices and their services have posed a larger range requirements of availability, throughput, latency, and performance in heterogeneous connectivity environments. Meanwhile, the existing networks often struggle with such of limitations in complex control protocols and difficulty in internetworking with billions of smart devices with different requirements such as latency and bandwidth allocations. These obstacles become substantial barriers to deploy services, as well as isolate between multiple co-existing tenants on the same physical network, deploy simultaneous protocols in the network, be stable to maintain the bandwidth and latency according to predefined QoS demands. These obstacles have recently been facilitated by Software Defined Network (SDN) and Network Function Virtualization (NFV) technologies that enable the programming and monitoring in data plane. In this study, firstly, the authors investigate and propose a SDN/NFV based architecture for multi-tenant networks with plenty of network slices working in a shared physical infrastructure. Secondly, P4 and ONOS Controller are used to implement a deep programming in BMv2 devices to efficiently maintain the network motoring in order to guarantee the E2E latency of communicating channels. Finally, the VXLAN technologies are exploited to for network slicing with different purposes and applications, and Inband Network Telemetry (INT) is used to monitor network latency.

A Software-Defined Architecture for Integrating Heterogeneous Space and Ground Networks

“…In addition, this method needs to be customized in advance for specific application requirements and lacks dynamic flexibility. Fifth, some works utilize the P4Runtime technology to generate multi-class flow tables for parsing and deparsing different protocols of various networks (Uddin et al, 2018;Do et al, 2019). However, these works ignore other heterogeneous factors of different subnetworks.…”

“…However, the operations supported by traditional hardware switches are relatively simple, and complex operations cannot be completed, such as protocol conversion and rate adaptation. There are a number of works that utilize the P4Runtime technology to generate multi-class flow tables for parsing and deparsing different protocols of various networks (Uddin et al, 2018;Do et al, 2019). However, these works ignore that the integration of heterogeneous networks needs to take into consideration of not only protocol conversion but also other important factors, e.g., the switching mechanism, dynamic and mobility support capability, coverage, data rate, resource capacity, and QoS control technology.…”

Large-Scale Software-Defined IoT Platform for Provisioning IoT Services on Demand

“…Nevertheless, they fail to consider network issues facing IoT systems as well as to provide a performance evaluation of the proposed architecture. In addition, (Do et al, 2019) developed and deployed an SDN/NFV-based network infrastructure for IoT. It builds and implements applications to slice end-to-end multiple network segments in accordance with the requirements of deploying IoT services from different providers.…”

“…In fact, IoT has already enabled many emerging applications and services critical to our life in various domains from personal healthcare to critical infrastructures, and large-scale systems as smart cities (Krishnamurthi, Nayyar, & Solanki, 2019). However, this enormous potential is limited by existing IoT systems/platforms, which are mainly closed ecosystems that are vertically developed and deployed in their own IoT infrastructure and have incompatible standards, formats, semantics, and proprietary protocol and interfaces (Do, Le, Paul Lin, & Tung, 2019). Security concern also prevents the sharing of IoT resources among IoT applications (Jain, Jain, & Nayyar, 2020;Nayyar, Jain, Mahapatra, & Singh, 2019).…”

“…The highly resource-constrained nature of IoT devices regarding energy, computing power, storage, and wireless connectivity prevents a direct application of the wired SDN technique to the IoT world. Efforts have been attempted to address this issue; systematically enriching devices with resource sharing capability remain open challenges (Do et al, 2019). We investigate the virtualization technology to enhance and supplement the programmability of physical devices.…”