👉 Adjacent computing refers to the practice of integrating and optimizing computing resources in close proximity to each other, often within the same physical infrastructure, to enhance performance, reduce latency, and improve energy efficiency. This approach leverages the proximity of computing elements—such as servers, storage devices, and networking components—to minimize data transfer distances and optimize resource utilization. By placing compute resources near the data they process, adjacent computing can significantly reduce network congestion and latency, leading to faster application response times and more efficient use of hardware resources. This is particularly beneficial in data-intensive environments like cloud computing, big data analytics, and real-time applications, where minimizing data movement is crucial for performance. Adjacent computing also supports the deployment of edge computing, where computation occurs closer to the data source, further reducing latency and bandwidth usage.
