Latency Minimization with Optimum Workload Distribution and Power Control for Fog Computing
S Atapattu, C Weeraddana, M Ding, H Inaltekin, J Evans
2020 IEEE Wireless Communications and Networking Conference (WCNC) | IEEE | Published : 2020
This paper investigates a three-layer IoT-fog-cloud computing system to determine the optimum workload and power allocation at each layer. The objective is to minimize maximum per-layer latency (including both data processing and transmission delays) with individual power constraints. The resulting optimum resource allocation problem is a mixed-integer optimization problem with exponential complexity. Hence, the problem is first relaxed under appropriate modeling assumptions, and then an efficient iterative method is proposed to solve the relaxed but still non-convex problem. The proposed algorithm is based on an alternating optimization approach, which yields close-to-optimum results with s..View full abstract
Related Projects (3)
Awarded by Australian Research Council
This work is supported in part by the Australian Research Council (ARC) through the Discovery Early Career Researcher (DECRA) Award under Grant DE160100020 and in part by the Discovery Project (DP) under Grant DP180101205.