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

Haichuan Ding, Yuanxiong Guo, Xuanheng Li, Yuguang Fang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

38 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number8554109
Pages (from-to)2783-2795
Number of pages13
JournalIEEE Transactions on Mobile Computing
Volume18
Issue number12
DOIs
Publication statusPublished - 1 Dec 2019
Externally publishedYes

Keywords

  • Internet of Things (IoT)
  • edge computing
  • service placement
  • spectrum allocation

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