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Research on Resource Allocation and Management of Mobile Edge Computing Network
Author(s) -
Rui Zhang,
Wenyu Shi
Publication year - 2020
Publication title -
informatica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 34
eISSN - 1854-3871
pISSN - 0350-5596
DOI - 10.31449/inf.v44i2.3166
Subject(s) - computer science , mobile edge computing , cloud computing , computer network , distributed computing , edge computing , resource allocation , enhanced data rates for gsm evolution , mobile computing , throughput , operating system , wireless , telecommunications
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.

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