What Makes SDN Ideal for IoT Deployments?

What Makes SDN Ideal for IoT Deployments?

Enterprise Networking Mag | Friday, June 25, 2021

For large-scale IoT deployments, an SDN networking paradigm should be explored, especially when a customer has to establish the provenance and security of a large number of nodes.

FREMONT, CA: Software-defined networking is crucial for IoT deployments, and it should be considered when dealing with devices that need to be segregated for security or performance reasons. A Software-Defined Networking (SDN)-capable mobile and moving edge system, for example, can provide a secure cloud SDN host. For large-scale IoT deployments, an SDN networking paradigm should be explored, especially when a customer has to establish the provenance and security of a large number of nodes. When using an SDN, an architect should consider the following scenarios:

  • IoT edge devices must connect with servers and data centers that are thousands of miles away.
  • Outside of the existing Internet infrastructure's hub-and-spoke arrangement, the size of IoT growth from millions to billions of endpoints necessitates proper scaling technology.

SDN has a number of features that make it ideal for IoT deployments. However, there are three main aspects of SDN that are critical:

Service Chaining

This enables a client or supplier to sell services on à la carte basis. Firewalls, deep packet inspection, VPNs, authentication services, and policy brokers are examples of cloud network services that can be interconnected and utilized on a subscription basis. Some customers may require the complete set of functionalities, while others may not require any or may change their configuration regularly. Service chaining gives a lot of flexibility when it comes to deployments.

Dynamic Load Management

An SDN benefits from the flexibility of cloud architecture, and it is designed to scale resources based on load dynamically. This kind of adaptability is critical for the IoT because architects must plan for capacity and scale as the number of connected devices grows dramatically. Only virtual networking in the cloud allows for capacity scaling as needed. People-tracking at amusement parks and other places is an example of this. Depending on the season, time of day, and weather, the number of people changes. Additionally, without affecting the provider's hardware, a dynamic network can react to the number of visitors.

Bandwidth Calendaring

This enables an operator to divide data bandwidth and usage into days and times. It is essential in IoT since many edge sensors only report data regularly or at a specific time of day. Sophisticated bandwidth sharing algorithms can be built to time slice capacity.

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