Abstract
At present, the fast-paced work and life make people under great pressure, and people’s enthusiasm for fitness is getting higher and higher, which is in contradiction with the shortage of existing stadiums. So it is considerably significant to open shared stadiums near where citizens live for booking. Therefore, how to allow citizens to book a suitable stadium according to their own needs through mobile phones or computers is an urgent problem to be solved. The booking of the shared stadium can be regarded as a mobile edge computing (MEC) scenario, and the problem can be transformed into task scheduling research under MEC through intelligent scheduling method. When using edge computing (EC) technology for service calculation, the mobile terminal needs to offload the service to the edge computing server. After the server completes the calculation, the calculation results will be sent back to the mobile terminal. Therefore, the calculation time and system energy consumption in the calculation process can be further reduced through task scheduling to improve user satisfaction. In this study, joint scheduling of service caching and task algorithm is proposed to reduce the latency of booking shared stadium request and improve user experience. The simulation results show that the proposed algorithm with edge cooperation idea can achieve lower average system latency at lower load level and can significantly reduce the cloud offloading ratio under low and middle pressure. In addition, the proposed algorithm uses the secondary transfer of more tasks to reduce the pressure of local task running. Finally, the quality of experience (QoE) satisfaction rate under low pressure is guaranteed.
Highlights
Fitness is gaining popularity in China over the decade [1, 2]
Taking Beijing as an example, there are nearly about 1,000 stadiums available with different sizes in the whole city, which are free and charged, and how to make the citizens book a suitable stadium by using phones or computers for their own needs is in most urgent need to address the problem. e booking of the shared stadium can be regarded as task scheduling in Mobile edge computing (MEC). e phones or computers are often deployed at the edge of the network [4,5,6]
When the user’s latency is smaller than the quality of experience (QoE) latency limit, QoE requirements can be considered to be met. e average latency of each queue can be obtained through the queuing model, so this study directly takes whether the average latency is less than the QoE latency limit as the standard of whether users meet QoE
Summary
Fitness is gaining popularity in China over the decade [1, 2]. One of the main problems encountered in the implementation is the lack of stadiums [3]. E booking of the shared stadium can be regarded as task scheduling in MEC. Mobile edge computing (MEC) is the cloud for real-time and personalized services, which offers the IT service environment and cloud computing capabilities. For the problems of limited edge network resources and insufficient flexibility, it is necessary to introduce resource management and task scheduling mechanism to manage the edge network as a whole. Reasonable resource allocation and scheduling scheme are designed to make full use of edge resources to reduce latency and improve the user experience of booking stadiums. E optimized network latency makes it easier for citizens to book the most suitable stadium for them, which is bringing a better experience to users.
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