Vehicle-mounted edge computing application caching method, device and system

Abstract

The invention provides a vehicle-mounted edge computing application caching method, device and system. The method comprises the steps of setting that n vehicle users exist in the coverage range of anedge server of a certain vehicle-mounted ad hoc network, and enabling each vehicle user i to request to unload a computing task of a vehicle-mounted application with the data size qi to the edge server; enabling the edge server to collect a calculation task of a vehicle-mounted application requested to be unloaded by a vehicle user within the coverage range of the edge server, and charge the corresponding vehicle user according to the data volume of the calculation task; after the calculation task is completed and a calculation result is obtained, feeding back the calculation result to a corresponding vehicle user, and selectively caching calculation task related data, including the calculation result, of the vehicle-mounted application unloaded by the vehicle user ; and if the computing tasks of the vehicle-mounted applications requested to be unloaded by other vehicle users subsequently are cached locally, enabling the edge server to directly feed back corresponding calculation results to the corresponding vehicle users. According to the invention, the response delay of the vehicle-mounted application service can be effectively reduced.

Description

technical field [0001] The present invention relates to a vehicle-mounted edge computing application caching method, device and system. Background technique [0002] With the increasing development of network communication and mobile vehicular applications, people put forward higher requirements for the service quality of mobile vehicular applications, especially in terms of low response delay. In response to the computing service requirements of mobile vehicular applications, Vehicle Edge Computing (VEC) has emerged, that is, adding mobile edge computing (MEC) technology to the vehicle ad hoc network (VANET), and the edge server expands computing and storage resources. to the edge of the in-vehicle network to meet the latency-sensitive needs of in-vehicle applications [4] . With the advent of VEC, mobile vehicles can directly obtain computing and storage resources at the edge of the network, and in-vehicle applications can obtain better user experience. [0003] In vehic...

AI Technical Summary

Problems solved by technology

However, these research works assume that the network has gone through a long training period, and the edge server has cached all computing task data that may be requested by the user. In reality, due to the limited storage of the edge server, related methods are not feasible.

At the same time, these research works do not take into account that users will pay attention to computing service fees and privacy leaks when uninstalling applications, and are often unwilling to become the "first user" (for a vehicle application, the first user requests the edge server for the first time to use the The computing tasks of an in-vehicle application are offloaded to the vehicle user on the edge server), resulting in insufficient content providers, unable to guarantee the dynamic update of edge server storage resources, and the information required for in-vehicle application services has a very high real-time nature and cannot fully Reducing response latency of services for in-vehicle applications

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