February 23, 2024

Lashay Braden

Internet of Things Progress

The Edge Network

Introduction

The latest buzzword in the world of IoT is Edge Computing. It’s the idea that your data resides where it originates and doesn’t need to travel as far or as often. This is an important concept to understand because it will change how we think about connecting devices and applications to the cloud. In fact, Edge Computing is already changing how people are thinking about connectivity requirements for IoT devices – particularly in industrial applications where they might be installed on a factory floor or at a remote location.

Edge Computing is the future of IoT.

Edge computing is the future of IoT. It is a model that allows you to put computing, storage and connectivity at the edge of your network. Edge computing enables real-time data available for real-time decision making.

The Edge Network is a suite of tools and technologies designed to help organizations make better decisions faster by leveraging their existing infrastructure while keeping costs down and improving performance

Edge Computing is about making real-time data available for real-time decision making.

Edge computing is about making real-time data available for real-time decision making. It’s about getting data from connected devices to the cloud in real time so that you can make decisions based on current information, rather than waiting until it reaches headquarters or a centralized server farm.

Edge Computing allows you to make decisions based on current information, not stale data that has been sitting around waiting for you.

Edge Computing is a model that allows you to put computing, storage and connectivity at the edge of your network.

The Edge Network

Edge computing is a model that allows you to put computing, storage and connectivity at the edge of your network. It’s an important part of IoT because it allows real-time data processing and decision making at points where information is being generated.

The advantages of edge computing are many: by keeping as much intelligence in place as possible, you can reduce latency issues that would otherwise arise from sending information back to central servers; also by doing so, you can make better use of limited bandwidth or other resources by not having them spent on unnecessary traffic across long distances (especially if those distances involve crossing networks like WiFi).

Data centre as a service (DCaaS) is an integral part of the edge model.

Data centre as a service (DCaaS) is an integral part of the edge model. DCaaS provides a secure and scalable cloud environment for applications that need compute, storage and networking capabilities at scale. It’s ideal for IoT devices that don’t require the full power of the cloud, or for companies that need to keep sensitive data close to their users–for example, financial institutions can use it as a way of storing customer information without having to build out massive data centres themselves

Edge networking is helping to enable IoT devices and applications by connecting them with the cloud, while providing an intelligent gateway between them and other networks.

Edge computing is a model that allows you to put computing, storage and connectivity at the edge of your network. Edge networking enables IoT devices and applications by connecting them with the cloud, while providing an intelligent gateway between them and other networks. This enables you to put real-time data available for real-time decision making.

Edge computing will be the next big thing in connected devices

Edge computing is the next big thing in connected devices. It’s about making real-time data available for real-time decision making. Edge computing is a model that allows you to put computing, storage and connectivity at the edge of your network (hence the name). This can be done by either:

  • Moving computation closer to where it will be used (for example, on a mobile device). This reduces latency issues associated with sending data over long distances; or
  • Adding intelligence into devices themselves so they can act independently without needing any input from their central servers or cloud services

Conclusion

So, is the edge the future of IoT? Yes. Is it necessary for every IoT application? No. But if you want to make real-time decisions based on data from a device or sensor that’s miles away from your data centre then it’s definitely worth considering as a solution.