Research on Multi-priority Task Scheduling
Algorithms for Mobile Edge Computing
Yanrong Zhu, Yu Tang
(&)
, Chenyao Wu, and Di Lin
University of Electronic Science and Technology of China, Shahe Campus:
No. 4, Section 2, North Jianshe Road, Chengdu 610054, Sichuan,
People’s Republic of China
yutang@uestc.edu.cn
Abstract. In this paper, priority-based mobile edge computing technology is
used to decide the task migration problem on telemedicine devices. Tasks can be
adaptively assigned to mobile edge servers or processed locally according to the
current network situation and specific task processing environment, thus
improving the efficiency and quality of telemedicine services. The main work of
this paper is in three aspects. Firstly, priority is set for urgent tasks, and nonpreemptive priority queues are set on the server side of MEC, so that the average
stay time of each priority can be calculated according to the current situation of
priority tasks queuing. Secondly, in the process of task transmission to the
server, the channel resources are allocated adaptively by priority-based twice
filtering strategy, and the final task migration decision is obtained by auction
algorithm. Thirdly, compared with the existing mobile edge computing task
migration model, the priority-based task migration model greatly guarantees the
real-time and high quality of telemedicine.
Keywords: Mobile edge computing Á Telemedicine Á Task migration
decision Á Tasks priority Á Auction algorithm
1 Introduction
With the development of computer technology and communication technology, telemedicine, which integrates medicine, computer technology, and communication
technology, has gained more and more attention and application in the global health
industry [1]. In telemedicine, doctors can predict the severity of patients’ injuries
through the Internet, so as to inform the medical staff in ambulances of the surgical
pretreatment that should be carried out, thus greatly improving the survival rate of
seriously injured patients. However, the development of telemedicine also has some
difficulties because of the requirements for high-definition video and latency [8].
Mobile edge computing is one of the core standards of 5G, especially suitable for
computing intensive, time-sensitive tasks, such as augmented reality, Internet of
Vehicles, and other scenarios. With the advent of 5G era, mobile edge computing
server (MEC server) will be deployed around the cell. Users will transmit information
to the base station through wireless channels. The base station will connect with MEC
© Springer Nature Singapore Pte Ltd. 2020
Q. Liang et al. (Eds.): Artificial Intelligence in China, LNEE 572, pp. 139–147, 2020.
https://doi.org/10.1007/978-981-15-0187-6_16
Algorithms for Mobile Edge Computing
Yanrong Zhu, Yu Tang
(&)
, Chenyao Wu, and Di Lin
University of Electronic Science and Technology of China, Shahe Campus:
No. 4, Section 2, North Jianshe Road, Chengdu 610054, Sichuan,
People’s Republic of China
yutang@uestc.edu.cn
Abstract. In this paper, priority-based mobile edge computing technology is
used to decide the task migration problem on telemedicine devices. Tasks can be
adaptively assigned to mobile edge servers or processed locally according to the
current network situation and specific task processing environment, thus
improving the efficiency and quality of telemedicine services. The main work of
this paper is in three aspects. Firstly, priority is set for urgent tasks, and nonpreemptive priority queues are set on the server side of MEC, so that the average
stay time of each priority can be calculated according to the current situation of
priority tasks queuing. Secondly, in the process of task transmission to the
server, the channel resources are allocated adaptively by priority-based twice
filtering strategy, and the final task migration decision is obtained by auction
algorithm. Thirdly, compared with the existing mobile edge computing task
migration model, the priority-based task migration model greatly guarantees the
real-time and high quality of telemedicine.
Keywords: Mobile edge computing Á Telemedicine Á Task migration
decision Á Tasks priority Á Auction algorithm
1 Introduction
With the development of computer technology and communication technology, telemedicine, which integrates medicine, computer technology, and communication
technology, has gained more and more attention and application in the global health
industry [1]. In telemedicine, doctors can predict the severity of patients’ injuries
through the Internet, so as to inform the medical staff in ambulances of the surgical
pretreatment that should be carried out, thus greatly improving the survival rate of
seriously injured patients. However, the development of telemedicine also has some
difficulties because of the requirements for high-definition video and latency [8].
Mobile edge computing is one of the core standards of 5G, especially suitable for
computing intensive, time-sensitive tasks, such as augmented reality, Internet of
Vehicles, and other scenarios. With the advent of 5G era, mobile edge computing
server (MEC server) will be deployed around the cell. Users will transmit information
to the base station through wireless channels. The base station will connect with MEC
© Springer Nature Singapore Pte Ltd. 2020
Q. Liang et al. (Eds.): Artificial Intelligence in China, LNEE 572, pp. 139–147, 2020.
https://doi.org/10.1007/978-981-15-0187-6_16