Some maintain Edge computing is synonymous with hybrid IT because it offers lower latency access to data and application resources when compared to public cloud. 



How it Works

In the last few years with the ever expanding (exploding) data content via the internet, Edge Computing is increasingly separated from the “core” data center. Some put Cloud on one side of the core data center, Edge on the other to represent this difference. 

For manufacturing it is compute, often virtualization, closer to the source (factory) optimized for high-speed data collection and real-time analysis. If is often not as centrally controlled, it may be wired, but increasingly wireless (or secure Internet enabled) communication. In many contexts,  edge computing is more typically associated with the Internet-of-Things (IoT).  


By most definitions today, edge computing accommodates data streaming, usually including real-time analysis of data with little to no latency. For smart applications and devices responding to data instantaneously is crucial. Everyone know this is critical for auto-pilot of aircraft, self-driving cars, or just in time manufacturing, and edge computing is becoming more valuable to large corporations who benefit from the lower cost of reduced internet bandwidth or multi-cloud compute resources as close to the source of data as feasible. By moving away from reliance on more central data center resources, this has become more commonly known as edge computing delivering on IT Services at the edge. 


Be More Competitive

To be more competitive, edge computing must be secure and protect privacy (encryption), and to lower costs it typically may have specialized nano or microprocessors, with more optimized cost effective cache or memory and specialized integrated components. It will often exploit other mobile devices and may be software-defined, virtualized but with lower cost distributed network function virtualization or mobile edge computing architectures. Serverless architectures, mobile edge computing or ubiquitous computing are related terms.  


It will tend to have secure fast communications, with associated attributes of scalability, reliability, speed and efficiency. Edge computing or IoT applications include home automation based on increasingly intelligent back-end systems, autonomous vehicles, typically with the term “smart” such as smart city, smart grid, or smart industry.  We need to be careful not to define too many boundaries in this area, since edge computing takes many forms and is constantly evolving.  

Since edge computing is enabled by all forms of standard secure communication, it will be further enhanced by reliable 5G Wireless because it is not bound by any one construct. Since it can be a profitable extension of a business or of the hybrid data center, it will increasingly be multi-cloud gaining more intelligence as it feeds and is fed from more artificially intelligent sources. 



Real-time analysis of data with little to no latency for faster decision making 


Lower cost, faster, and typically more secure communications for IoT and edge services 


Access to multi-cloud resources with potential of more intelligent responses 

HPE has designed its EdgeLine servers for a more seamless cloud-connected and secure “intelligent edge”. 


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