Leading edge computing companies of 2022

edge computing concept of the cloud, farming, and industry icons.
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What is edge computing?

Edge computing refers to a solution where data processing, analysis and in some cases, actions, occur close to the place where the data originated. Edge computing often relies on a sporadic connection to cloud computing systems, although some setups similarly connect to nearby devices — in which case the systems might be referred to as part of the Internet of Things (IoT). Edge computing solutions operate in circumstances where current cloud computing systems won’t suffice, due to one or more of the following concerns:

  • large quantities of data
  • network connectivity constraints
  • network latency limitations
  • data privacy priorities

Wherever you encounter one or more of the above four constraints, you’ll also find an example of an edge computing solution. Machines, such as autonomous cars or industrial robots, generate huge quantities of data and act with low latency. Some agricultural systems operate in areas that lack high-bandwidth network connections. Within buildings, various environmental, security and transit systems all benefit from the ability to sense, analyze and respond immediately, independent of cloud systems. And in healthcare, many organizations prefer to maintain as much patient data on-site as possible.

Structurally, you might think of edge-cloud computing as a modern incarnation of client-server computing. The two systems share a common concept: An independent, capable computing device (i.e., the legacy client or modern edge device) that can connect to a more powerful system (i.e., the legacy server or modern cloud). Of course, the capabilities, number, scale, and details of client-server and edge-cloud systems differ, but that general concept provides a useful initial framework as you seek to understand the field.

SEE: How to implement edge computing (TechRepublic)

Companies apply the term “edge computing” to refer to a diverse set of networking technologies, devices (processing and storage systems), applications and data systems. Edge computing solutions from established companies tend to reflect each vendor’s established expertise: Chip companies promote processing,…