{"id":225914,"date":"2024-04-22T16:39:35","date_gmt":"2024-04-22T16:39:35","guid":{"rendered":"https:\/\/www.techopedia.com\/?p=225914"},"modified":"2024-04-22T16:39:35","modified_gmt":"2024-04-22T16:39:35","slug":"fog-computing-vs-edge-computing-which-is-better-for-your-business","status":"publish","type":"post","link":"https:\/\/www.techopedia.com\/fog-computing-vs-edge-computing","title":{"rendered":"Fog Computing vs. Edge Computing: Which Is Better for Your Business?"},"content":{"rendered":"

Fog computing and edge computing both aim to bring computational power and data storage closer to where the data is generated, such as IoT devices<\/a> or sensors<\/a>, rather than in centralized data centers.<\/p>\n

The choice between fog computing and edge computing for businesses revolves around where data processing<\/a> should happen in relation to the edge of the network. Fog extends cloud to the edge for centralized processing, which is better for complex tasks or data aggregation<\/a>. Edge computing processes data directly at the source, allowing for decentralized, low-latency processing, which is ideal for real-time applications.<\/p>\n

The choice of edge computing vs. fog computing depends on the specific requirements of your business, the nature of the applications you’re deploying, and your available infrastructure.<\/p>\n

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Key Takeaways<\/span><\/h2>\n