Hierarchical resource distribution network based on mobile edge computing

Mobile edge computing (MEC) is an emerging paradigm to support the proliferation of smart phones and recent outstanding mobile data traffic growth. The network edge devices with computation, communication and storage capabilities can be applied to cache popular resource in close proximity to end uses and directly distribute resource to them, which is a promising solution to provide enhanced service. Firstly, in order to respond to the users' access requests at the edge of network, the distributed resource distribution network (DRDN) is constructed to realize the quick query, positioning and distribution of resource. It mainly consists of network elements: NEF (Network Exposure Function) node for global management and MEC nodes for distribution service. Secondly, on the basis of DRDN, two kinds of MEC's service models of distributing resource are defined and classified, the total energy consumption and average service delay for distributing resource to end users are analyzed. Finally, for the heavy access load and high latency of root caching MEC node, a hierarchical caching scheme (HCS) is designed and a caching node selection algorithm based on fuzzy C-means clustering is proposed according to the location characteristics of end users. The simulation results show that the HCS can save a lot of energy and reduce the average service delay. Additionally, for the different total arrival rate of users' access requests, the change of average service delay is stable with good adaptability in the HCS.