Resource Management for Cooperative Service Offering with a Generalized Service-Centric Model

• Published in: 2022 IEEE/CIC International Conference on Communications in China (ICCC) pp. 944 - 949
• Main Authors: Wu, Xuan, Huang, Yang, Gao, Zhen
• Format: Conference Proceeding
• Language: English
• Published: IEEE 11.08.2022
• Subjects: Complexity theory; Computational modeling; device scheduling; Energy consumption; Generalized service-centric optimization model; Internet of Things; iterative algorithm; MINLP problem; resource allocation; Resource management; Simulation; Ubiquitous computing
• DOI: 10.1109/ICCC55456.2022.9880825

The development of the Internet of Things (IoT) witnesses a growing number of intelligent services. Nevertheless, the IoT devices can suffer from limited energy supply and computing ability. Reminiscent of the concept of multi-access edge computing and ubiquitous computing, IoT devices can share the network resources and cooperate to offer intelligent services. Nevertheless, state-of-the-art models for resource optimization cannot fully characterize the requirement of services. Therefore, we propose a novel generalized service-centric model for resource allocation optimization in the presence of cooperative service offering. Based on the model, a joint network resource allocation and device scheduling optimization is investigated. This problem is shown to be a mixed integer non-linear programming (MINLP) problem. To solve the problem, alternating optimization is integrated with the Hungarian method, where the device scheduling optimization suffers from the cubic complexity. Simulation results illustrate that the proposed service-centric optimization model can significantly reduce the overall energy consumption, as well as the slope of average energy consumption in the presence of an increasing number of tasks.