Abstract The exponential growth of Internet of Things (IoT) devices has rendered traditional Cloud Computing architectures insufficient for latency-sensitive applications. Fog Computing has emerged as a solution, yet it faces challenges regarding load balancing and resource allocation. This paper explores the Masahub Alternate Full strategy—a novel resource management algorithm designed for distributed fog nodes. By dynamically alternating between full-duplex data processing and standby modes, the Masahub architecture aims to optimize energy consumption while minimizing latency. We analyze the theoretical underpinnings, the "Alternate Full" switching mechanism, and its potential impact on next-generation smart city infrastructures.
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