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Introduction to Edge Computing
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=== 1.1.3 Two Main Uses of Edge Computing: === ==== Upstream Applications (Devices > Cloud) ==== Upstream applications in edge computing are focused on collecting and filtering data at or near the source before transmitting only relevant or necessary information to the cloud. This approach helps minimize network load and enables faster decision-making at the edge. '''Examples include:''' * Sensors in the field track soil moisture, temperature, and crop conditions. Instead of sending all the data, only important changes β like a sudden drop in moisture are sent to the cloud to trigger irrigation systems. * Trains are equipped with sensors that detect issues such as mechanical faults or abnormal vibrations. The data is analyzed on the train itself, and only important alerts or maintenance requirements are sent to the central system. ==== Downstream Applications (Cloud > Users) ==== Downstream applications aim to deliver data from the cloud to users with minimal delay by using edge servers to bring content or services closer to the userβs location. This setup improves response times and overall user experience. '''Examples include:''' * Game servers use edge locations to store and deliver game data closer to the players. This setup minimizes delay and improves the performance of fast-paced online games. * Streaming platforms like Netflix and YouTube use content delivery networks (CDNs) to store frequently watched videos on servers near the users, ensuring smoother playback and reduced buffering.
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