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What is Germany about?

This article proposes a distributed deep learning algorithm (DDTO) for task offloading in edge and cloud computing environments for smart city IoT applications. DDTO jointly optimizes system utility and bandwidth allocation to generate near-optimal offloading decisions across mobile devices, edge clouds, and central clouds. Experimental results show DDTO achieves high performance and reduces computational complexity compared to schemes that do not leverage collaboration between heterogeneous clouds. Specifi

Author

Roha Cbc

Language

EN