Why Is SDN So Ideal For IoT Deployment?

Why Is SDN So Ideal For IoT Deployment?

Enterprise Networking Mag | Monday, July 11, 2022

For large-scale IoT deployments, the SDN networking paradigm should be explored, particularly when a customer has to institute the provenance and security of many nodes.

FREMONT, CA: Software-defined networking is critical for IoT deployments, and it should be reviewed when dealing with devices that require to be segregated for security or performance reasons. For instance, a Software-Defined Networking (SDN)-competent mobile and moving edge system can give .

A secure cloud SDN host. For large-scale IoT deployments, the SDN networking paradigm should be explored, especially when a customer has to establish the provenance and security of many nodes. When utilizing an SDN, an architect should consider the following scenarios:

- IoT edge devices must join with servers and data centres thousands of miles away.

- Outside of the present Internet infrastructure's hub-and-spoke arrangement, the size of IoT growth from millions to billions of endpoints necessitates proper scaling technology.

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

Service Chaining

This allows a client or supplier to sell services on à la carte basis. Firewalls, VPNs, deep packet inspection, authentication services, and policy brokers are instances of cloud network services that can be interrelated and used on a subscription basis. Some customers may need the complete set of functionalities, while others may not need any or may change their configuration frequently. Service chaining provides a lot of flexibility when it comes to deployments.

Dynamic Load Management

An SDN advantage from the flexibility of cloud architecture is designed to dynamically scale resources based on load. This 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 enables capacity scaling as needed. People-tracking at entertainment parks and other places is an instance of this.

The number of people changes based on the season, time of day, and weather. Also, without affecting the provider's hardware, a dynamic network can respond to the number of visitors.

Bandwidth Calendaring

This allows an operator to divide data bandwidth and utilization into days and times. It is vital in IoT since many edge sensors only report data routinely or at a specific time of day. Sophisticated bandwidth sharing algorithms can be made to time slice capacity.

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