What Is Edge Computing?

Edge Computing is the ability to process data closer to its source, providing faster and more pertinent insights and actions. It’s a rapidly developing computing paradigm that is revolutionizing how businesses manage and utilize their physical assets while creating engaging, human experiences in real time.

It also unlocks valuable data to shape the future and improve human health and safety, reduce costs and optimize business operations from customer engagement to production and back-office management. This new model of computing is founded on the notion that effective, efficient and dependable solutions come from placing compute and storage resources closer to data.

Edge computing allows devices and sensors to send their data directly to the network edge, or point where it was generated. This enables data collection and processing locally which improves bandwidth, reduces latency and boosts application performance.

When computing and storage needs to be placed close to the edge, several technologies designed specifically for this task can be leveraged. These include service and data meshes, software-defined networking and containers.

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These technology enablers enable users to connect a diverse range of devices and services over one virtual overlay network. This way, all the devices are linked together on the same system, enabling seamless access to services and data across the entire edge infrastructure.

Early research into this technology has demonstrated that computation offloading can enhance real-time applications like facial recognition algorithms, saving significant time compared to sending all data to a central data center.

Another advantage of edge computing is that it reduces bandwidth used by devices and sensors, which is essential in certain industries like agriculture. For instance, if you have cameras capturing motion data that needs transmitting to a cloud server, that requires an immense amount of data to travel across the network. But by moving this computation to the edge, only important information will need to be sent.

Businesses and enterprises that depend on high bandwidth to deliver applications like streaming video or audio to remote customers will find this to be extremely beneficial. It provides greater reliability, while decreasing the risk of bandwidth issues – especially when multiple devices are involved.

Optimizing networks also assists with time-sensitive traffic optimization for each user, routing that traffic to the most optimal path for maximum performance. This can significantly enhance application speed and quality across a variety of environments – from mobile phones to large data centers – by measuring and optimizing time-sensitive traffic.

Security-wise, it is essential to remember that edge deployments still pose risks from malicious actors. Therefore, strong device management and protection within computing and storage resources are of utmost importance.

For any deployment to be successful, it requires a comprehensive strategy that takes into account both technical and business requirements of the solution. Furthermore, security in hardware, software patching/updates and encryption of data at rest and in flight must all be taken into account.

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