Abstract
The popularity of mobile Internet makes the application of mobile terminals need more computing resources, and cloud computing enables mobile terminals to handle application tasks that need high computing resources under the premise of maintaining small specifications. However, it is difficult to obtain high-quality low latency services as the mobile Internet edge is far away from the cloud computing center ; hence mobile edge computing (MEC) is proposed. This study introduce d computing resource allocation methods based on power iteration and system utility, applie d them to the mobile edge computing network , and carried out simulation experiments in MATLAB software. The experimental results show ed that the network throughput and system utility under the two resource allocation methods increased and the average transfer rate decreased with the increase of users in the mobile edge network ; under the same number of access users, the edge network based on the system utility allocation method ha d higher throughput, average trans fer rate and system utility.
Highlights
The development of mobile Internet technology has further facilitated people's life, and the popularity of mobile terminals such as mobile phones and IPADS has greatly promoted mobile Internet technology [1]
This study introduced a computing resource allocation method based on power iteration and a computer resource allocation method based on system utility, applied them to the mobile edge computing network, and carried out a simulation experiment on the two computing resource allocation methods in MATLAB software
R i indicate the energy consumption of processing tasks locally and processing tasks by migrating to mobile edge computing (MEC) server respectively, the former depends on the power and processing time of equipment and the latter depends on the energy during data transmission, pi indicates the transmitting power of equipment i, which cannot exceed its maximum transmitting power, S indicates a set of equipment participating in task migration
Summary
The development of mobile Internet technology has further facilitated people's life, and the popularity of mobile terminals such as mobile phones and IPADS has greatly promoted mobile Internet technology [1]. In order to solve the problem that the service quality of edge network cloud computing reduces due to the excessive access of mobile terminals, mobile edge computing is proposed. The bottom structure mainly includes the virtual layer structure and hardware facilities which are used for generating virtual computing resources [7]; the functional components in MEC system play the role of interaction interface between internal and external data, assisting the system to access the mobile network without obstacles; the application layer is the application interface of the system, which is used for interacting information with users. The wireless access network contains MEC servers, and they constitute the edge cloud and connect with various kinds of mobile terminals through the base station. When users repeat the same request, they can directly obtain resources from MEC server, which greatly improves the speed of service response
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