Three-Tier Capacity and Traffic Optimization for Core, Edges, and Devices in Mobile Edge Computing

• Main Authors: Jian-Xun Huang, 黃建勛
• Other Authors: Yuan-Cheng Lai
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/29663301878031255532

碩士 === 國立臺灣科技大學 === 資訊管理系 === 105 === 5G wireless communications systems has been proposed under the dramatical growth demand. The vision of 5G provides extremely low latency, and extends from 4G. In order to process more and more complexitive application in local mobile devices, so the local capabilities would be larger and larger. Due to that, MEC (mobile edge computing) has been proposed. Our work will solve two problems: (1) provide a costless model for operators, and decide the number of edges and the capacity of all servers in MEC (2) how to allocate the traffic. In order to achieve that, our research is aimed to compute the optimization about capacity and traffic allocation on homogeneous hierarchical architecture at three-tier MEC network. Our objective is constructing a network on MEC architecture with minimum total computational capacity beyond the latency constraint of 5G. We develope an algorithm, named as “two-phase iterative optimization (TPIO)”, to solve our two problems simultaneously. TPIO uses queueing theory to calculate the delay of traffic. the optimal network setting under ultra-low latency by the interactive adjustment of the two factor－capacity and traffic. In the final result, we know that three-tier architecture can save about 42% total cost than two-tier. In the percentage of traffic satisfying latency constraint, the total cost of QoS in 90% would have extra 34% cost than QoS in 50%. Due to the aforementioned, our work can find out the optimal static network setting and point out the influence of “edge tier” to overall network.