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What is Edge Computing? Here’s Why It’s Important

To learn more about what is edge computing & why its important for todays world click https://www.pluribusnetworks.com/blog/what-is-edge-computing/

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What is Edge Computing? Here’s Why It’s Important

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  1. What is Edge Computing? Here’s Why It’s Important

  2. What is Edge Computing? Here’s Why It’s Important • To better understand the meaning of the edge and its importance, let’s define Edge Computing. In basic terms, Edge computing is defined as deploying computing power closer to users and things.

  3. Edge Computing vs. Cloud Computing – What Are The Differences? • There is an emerging set of applications that have certain requirements that cannot be met with a centralized cloud computing architecture. This is because of latency issues that come with cloud computing. • Cloud computing processing functions so that the network can be deployed closer to where the application is being consumed to reduce latency.

  4. 4 New Application Requirements Driving Edge Compute • Latency • Bandwidth • Autonomy • Privacy

  5. The Importance of Edge Computing for 5G • 5G has something called CUPS which stands for “Control Plane and User Plane Separation”. The user plane should be distributed into edge computing sites for better throughput and scalability.

  6. What is MEC and How Does It Relate to Edge Computing? • Multi-access Edge Computing is a standard initiative by the ETSI called ISG Multi-access Edge Computing.

  7. What is Distributed Cloud? • The consumption model for edge compute will still be cloud-based – spin up containers or virtual machines (VMs) and place the application at a particular edge location, spin down when done, and pay for what you used.

  8. What are the implications? • The main implication is around moving from a massive, centralized and environmentally controlled data center facility to a collection of highly distributed and space/power/cost-constrained locations; many of which will not be environmentally controlled and may even be lights-out with no co-resident staff.

  9. Outro: • Most data center and cloud architectures today are highly centralized. This allows them to secure the power they need and create economies of scale by building thousands of highly automated compute, storage, and networking pods in a cookie-cutter approach, allowing for a lean IT staff at each location. 

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