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Distributed Implementation and Communication Overhead of Task Allocation Algorithms in Decentralized Cloud Computing This paper explores the distributed implementation and communication overhead of task allocation algorithms in decentralized cloud computing. By optimizing algorithm design and message passing strategies, we reduce latency and bandwidth consumption, ensuring efficient and scalable task distribution across cloud networks.

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