TY - GEN
T1 - Resource Management for Cooperative Service Offering with a Generalized Service-Centric Model
AU - Wu, Xuan
AU - Huang, Yang
AU - Gao, Zhen
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Generalized service-centric optimization model
KW - MINLP problem
KW - device scheduling
KW - iterative algorithm
KW - resource allocation
UR - http://www.scopus.com/inward/record.url?scp=85139525098&partnerID=8YFLogxK
U2 - 10.1109/ICCC55456.2022.9880825
DO - 10.1109/ICCC55456.2022.9880825
M3 - Conference contribution
AN - SCOPUS:85139525098
T3 - 2022 IEEE/CIC International Conference on Communications in China, ICCC 2022
SP - 944
EP - 949
BT - 2022 IEEE/CIC International Conference on Communications in China, ICCC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE/CIC International Conference on Communications in China, ICCC 2022
Y2 - 11 August 2022 through 13 August 2022
ER -