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What is edge computing? It's a new way to process data. Instead of sending all data to a central cloud, we bring the computing power closer to where the data is created.

Think of it as moving some "brains" from a distant city to your local neighborhood.

Imagine you're playing an online game. If the game server is very far away, you might experience "lag" or delays. This delay is called latency.

Similarly, sending huge amounts of data from devices (like smart cameras) all the way to a central cloud can be slow and use a lot of internet bandwidth.

Edge computing solves this by placing computing resources physically closer to the source of data. This "source" could be:

• Your smartphone
• An IoT sensor in a factory
• A smart traffic camera

Processing data right where it's created drastically cuts down on travel time.

The "edge" isn't just one thing. It includes:

• Edge Devices: These are the sensors, cameras, or smart gadgets that generate data.
• Edge Servers: Small data centers or powerful computers located closer to these devices, often on-site or in local network hubs.

These edge servers do the heavy lifting of processing.

Imagine you need a book. The "cloud" is like a huge national library far away. You can get any book, but it takes time to travel there.

An "edge" is like your local community library. It has a smaller selection, but it's much faster to get a book you need frequently, right in your neighborhood.

The main goals of edge computing are:

• Reduce Latency: Faster response times for critical applications.
• Save Bandwidth: Less data needs to be sent to the central cloud.
• Improve Reliability: Local processing can continue even if the cloud connection is lost.
• Enhance Security: Sensitive data can be processed and stored locally, reducing exposure.

With edge computing, not all data needs to travel to the cloud. For example, a smart security camera at the edge can analyze video footage locally to detect motion.

Only important events (like an intrusion alert) or summarized data might then be sent to the cloud for longer-term storage or deeper analysis.

The "edge" can be found in many places:

• Inside a factory (for industrial IoT)
• On a vehicle (for autonomous cars)
• At a cellular base station
• In a retail store
• Even in your home (smart assistants, home automation)

It's about placing compute power wherever it's most effective.

Edge computing offers significant advantages:

• Faster Decisions: Real-time processing for immediate actions.
• Lower Costs: Reduced data transfer fees to the cloud.
• Better User Experience: Less lag, more responsive applications.
• Increased Privacy: Sensitive data stays local.

Which of the following is a primary objective of edge computing?

In this lesson, we learned that edge computing moves data processing and storage closer to the data source. This helps reduce latency, save bandwidth, and improve reliability.

It involves edge devices and local edge servers working together. Next, we'll compare edge computing with cloud computing to understand their distinct roles.