標題: Three-Tier Capacity and Traffic Allocation for Core, Edges, and Devices for Mobile Edge Computing
作者: Lin, Ying-Dar
Lai, Yuan-Cheng
Huang, Jian-Xun
Chien, Hsu-Tung
資訊工程學系
Department of Computer Science
關鍵字: Iterative optimization;mobile edge computing (MEC);three-tier architecture;capacity allocation
公開日期: 1-Sep-2018
摘要: In order to satisfy the 5G requirements of ultra-low latency, mobile edge computing (MEC)-based architecture, composed of three-tier nodes, core, edges, and devices, is proposed. In MEC-based architecture, previous studies focused on the control-plane issue, i.e., how to allocate traffic to be processed at different nodes to meet this ultra-low latency requirement. Also important is how to allocate the capacity to different nodes in the management plane so as to establish a minimal-capacity network. The objectives of this paper is to solve two problems: 1) to allocate the capacity of all nodes in MEC-based architecture so as to provide a minimal-capacity network and 2) to allocate the traffic to satisfy the latency percentage constraint, i.e., at least a percentage of traffic satisfying the latency constraint. In order to achieve these objectives, a two-phase iterative optimization (TPIO) method is proposed to try to optimize capacity and traffic allocation in MEC-based architecture. TPIO iteratively uses two phases to adjust capacity and traffic allocation respectively because they are tightly coupled. In the first phase, using queuing theory calculates the optimal traffic allocation under fixed allocated capacity, while in the second phase, allocated capacity is further reduced under fixed traffic allocation to satisfy the latency percentage constraint. Simulation results show that MEC-based architecture can save about 20.7% of capacity of two-tier architecture. Further, an extra 12.2% capacity must be forfeited when the percentage of satisfying latency is 90%, compared to 50%.
URI: http://dx.doi.org/10.1109/TNSM.2018.2852643
http://hdl.handle.net/11536/148137
ISSN: 1932-4537
DOI: 10.1109/TNSM.2018.2852643
期刊: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
Volume: 15
起始頁: 923
結束頁: 933
Appears in Collections:Articles