A Machine-Learning-Based Auction for Resource Trading in Fog Computing

Volume: 58, Issue: 3, Pages: 82 - 88
Published: Mar 1, 2020
Abstract
Fog computing is considered to be a key enabling technology for future networks. By broadening the cloud computing services to the network edge, fog computing can support various emerging applications such as IoT, big data, and blockchain with low latency and low bandwidth consumption cost. To achieve the full potential of fog computing, it is essential to design an incentive mechanism for fog computing service providers. Auction is a promising...
Paper Details
Title
A Machine-Learning-Based Auction for Resource Trading in Fog Computing
Published Date
Mar 1, 2020
Volume
58
Issue
3
Pages
82 - 88
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.