
Queue scheduling mechanism of integrative intelligent network based on information age
Author(s) -
Jiangshan Zheng,
Li Yang,
Chengsheng Pan,
Huaifeng Shi
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1861/1/012070
Subject(s) - computer science , scheduling (production processes) , computer network , queueing theory , queue , distributed computing , flow control (data) , network congestion , real time computing , engineering , operations management , network packet
Aiming at the problems of deterministic transmission of delay-sensitive service flows and mixed transmission of different service flows in the integrative intelligent network, which can easily lead to network congestion collapse and excessive delay, a scheduling mechanism named SATAS based on information age is proposed. The service flows in the intelligent network aggregation node are classified into delay-sensitive and other types of service flows. Based on the idea of time division multiplexing, the service flow in the buffer queue is scheduled according to the gated list. Further, combined with the age of information, based on the multi-objective optimization decision-making theory, and according to the actual requirements of scheduling in the intelligent network, a suitable gate control list is obtained, thereby realizing the scheduling of business flows in the intelligent network. Finally, a simulation verification system is built to schedule different types of business flows. The simulation results show that the SATAS mechanism ensures the deterministic transmission of delay-sensitive service flows, while ensuring the mixed transmission of different service flows, reducing the queuing delay and frame loss rate.