Edge Computing
Definition
A distributed computing paradigm that brings data processing and storage closer to the sources of data, reducing latency and bandwidth usage compared to centralized cloud computing.
Edge computing processes data near the source of data generation rather than sending it to a centralized data center or cloud. This approach reduces the round-trip time for data processing, which is critical for applications requiring real-time or near-real-time responses such as autonomous vehicles, industrial automation, gaming, and augmented reality.
The edge computing ecosystem includes various types of infrastructure from small Internet of Things gateways and on-premise servers to regional data centers operated by cloud providers and CDN nodes. Major cloud platforms offer edge computing services that extend their capabilities to distributed locations, allowing developers to run serverless functions, deploy machine learning models, and cache content at edge locations worldwide.
Edge computing has become increasingly important as the volume of data generated by IoT devices, cameras, and sensors continues to grow exponentially. Sending all this data to centralized clouds would be impractical due to bandwidth costs and latency constraints. Edge processing allows filtering, aggregation, and analysis of data locally, transmitting only the relevant results to the cloud for long-term storage and deeper analysis.
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Related Calculators
Related Terms
CDN (Content Delivery Network)
techA geographically distributed network of servers that delivers web content to users from the nearest location, reducing latency and improving load times.
Latency
techThe time delay between a user's action and the system's response, measured in milliseconds, critical for user experience and application performance.
API (Application Programming Interface)
techA set of rules and protocols that allows different software applications to communicate with each other and share data or functionality.
Microservices
techAn architectural style that structures an application as a collection of small, loosely coupled, independently deployable services, each responsible for a specific business capability.
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