This document discusses distributed edge computing for internet of things applications. It describes how edge devices can be used for distributed computing to process large amounts of sensor data in real-time. The challenges of using edge devices include communication costs, preserving battery life on devices, and handling the varying capabilities of different edge devices. The document proposes using an agent-based distributed computing framework like CONDOR that can schedule jobs across heterogeneous edge devices through common middleware. It provides an example of using this approach for adaptive wind forecasting applications.
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