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Demonstrates an enhanced offloading method for dependent tasks, minimizing energy use while meeting hard deadlines in mobile edge computing networks.
Finding optimal offloading decisions for dependent tasks with multiple objectives and hard deadlines in resource-constrained mobile edge computing networks is a challenging problem. The solution to this problem is essential for latency-sensitive real-time applications. The objective of the problem is to complete the task within the deadline while minimizing energy consumption on the smart mobile device. We propose a combination of the fuzzy logic technique and the NSGA-III algorithm to solve the problem. Experimental results show that the proposed method outperforms the random and MOPSO-based methods.
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Kuanishbay Sadatdiynov (2026) studied this question.
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