Beef Up the Edge: Spectrum-Aware Placement of Edge Computing Services for the Internet of Things

被引:44
作者
Ding, Haichuan [1 ]
Guo, Yuanxiong [2 ]
Li, Xuanheng [3 ]
Fang, Yuguang [1 ]
机构
[1] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA
[2] Oklahoma State Univ, Sch Elect & Comp Engn, Stillwater, OK 74078 USA
[3] Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116023, Peoples R China
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
Edge computing; Mobile computing; Internet of Things; Optimization; Resource management; Cognitive radio; Sensors; Internet of Things (IoT); edge computing; spectrum allocation; service placement; ANALYTICS; NETWORKS; CITIES;
D O I
10.1109/TMC.2018.2883952
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we introduce a network entity called point of connection (PoC), which is equipped with customized powerful communication, computing, and storage (CCS) capabilities, and design a data transportation network (DART) of interconnected PoCs to facilitate the provision of Internet of Things (IoT) services. By exploiting the powerful CCS capabilities of PoCs, DART brings both communication and computing services much closer to end devices so that resource-constrained IoT devices could have access to the desired communication and computing services. To achieve the design goals of DART, we further study the spectrum-aware placement of edge computing services. We formulate the service placement as a stochastic mixed-integer optimization problem and propose an enhanced coarse-grained fixing procedure to facilitate efficient solution finding. Through extensive simulations, we demonstrate the effectiveness of the resulting spectrum-aware service placement strategies and the proposed solution approach.
引用
收藏
页码:2783 / 2795
页数:13
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