Since edge computing locates processing tasks closer to the edge of the network where data is gathered, it reduces the physical distance data has to travel. Contrary to popular belief, data does not move from point to point instantaneously. Latency, or the time it takes for data to move from its point of origin to its destination, results in slow network performance, which can be devastating for many services. By pushing processing tasks closer to the outskirts of the network, edge computing can cut down on latency and reduce the volume of data traffic that consumes limited bandwidth to deliver better, smoother network performance.
Fast and Efficient
Edge computing can cut down on latency and reduce the volume of data traffic that consumes limited bandwidth to deliver better, smoother network performance.
Edge computing infrastructure offers tremendous flexibility, allowing companies to integrate and connect systems that could not otherwise communicate over a traditional cloud network. As innovative new technologies in the automotive, healthcare, and manufacturing industries present new opportunities, edge computing provides a way of reducing or even eliminating the incompatibility issues that might have constrained them in the past. Ambitious companies are already exploring ways to leverage edge architectures to integrate their systems in ways that offer better customer experiences and help them manage ever-increasing data streams.
By pushing processing functions closer to the edge of the network and offloading that data analysis to smart devices and smaller data center facilities, companies can rapidly scale operations more effectively than ever before. Instead of making huge investments in cloud infrastructure, edge computing allows them to add new computing and storage resources organically and as needed. This can help to eliminate the inefficiencies that often result from less targeted data infrastructure growth.
Centralized networks always present a risk for organizations that provide extensive online services. If the servers go down, the entire network goes offline with them. The distributed nature of edge computing networks, however, make it possible for data collection and processing to carry on even if the core of the network goes down. Devices can continue to function, diverting critical processing operations to alternative destinations and storing other data locally until the primary servers are back online. Even if a cyberattack compromises a component of an edge network, the distributed nature of the system makes it possible to isolate the breach quickly before the infection can spread.
Even if a cyberattack compromises a component of an edge network, the distributed nature of the system makes it possible to isolate the breach quickly before the infection can spread.
Whether it’s startups hoping to rapidly scale their computing resources or established companies building improved customer experiences, edge computing offers substantial benefits to organizations hoping to capitalize on opportunities in emerging markets. With more devices leveraging internet connectivity and demand for streaming content on the rise, companies need to position their networks to deliver faster services that can keep pace with the economy of the future. Edge computing’s ability to enhance performance and flexibility makes it a natural fit for companies looking to expand network reach and locate services closer to their customers.