Title: Optimisation evaluation of middle and bottom level scheduling algorithms based on embedded wireless communication and big data query processing technology

Authors: Haifeng Chen; Lili Ding

Addresses: Department of Electronics, Software Engineering Institute of Guangzhou, Guangzhou 510990, Guangdong, China ' School of Architectural Engineering, Guangzhou City Construction College, Guangzhou 510925, Guangdong, China

Abstract: In embedded wireless communication system and big data query processing technology, the quality of task scheduling algorithm largely determines the performance of the system, and how to optimise the real-time scheduling is a problem worth studying. In this paper, the scheduling algorithm analysis and big data query processing technology of embedded wireless communication system are optimised, the specific algorithm optimisation steps are given, and the system structure design diagram and operation process are analysed. This paper takes the classical elevator scheduling problem as the research object, studies the process correlation and response time of three scheduling algorithms, FCFS, RR and PSA, and uses the benefit function R in the optimisation content of the algorithm to analyse the values of the scheduling algorithm nos. 1-8 when R = 1 and R = 2. Research shows that most scheduling algorithms only consider queuing order and have randomness in the local distribution of data.

Keywords: scheduling algorithm; wireless communication; embedded system; big data; query processing; elevator scheduling.

DOI: 10.1504/IJCSYSE.2026.151355

International Journal of Computational Systems Engineering, 2026 Vol.10 No.1/2/3/4, pp.182 - 189

Received: 26 Oct 2023
Accepted: 30 Nov 2023
Published online: 26 Jan 2026 *

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