PF-BTS: A Privacy-Aware Fog-enhanced Blockchain-assisted task scheduling

作者：

Highlights：

• We proposed a model that exploits Blockchain miner nodes for generating optimal scheduling solutions, namely PF-BTS.

• PF-BTS preserves Data, Usage, Identity, and Location privacy of end- users, and enables fog components to perform cloud tasks at the edge of the network.

• We deployed the Ant Colony Optimization algorithm in a Fog-Blockchain architecture.

• PF-BTS was experimentally proven to provide more optimal solutions than previously proposed Blockchain-based task scheduling models.

摘要

•We proposed a model that exploits Blockchain miner nodes for generating optimal scheduling solutions, namely PF-BTS.•PF-BTS preserves Data, Usage, Identity, and Location privacy of end- users, and enables fog components to perform cloud tasks at the edge of the network.•We deployed the Ant Colony Optimization algorithm in a Fog-Blockchain architecture.•PF-BTS was experimentally proven to provide more optimal solutions than previously proposed Blockchain-based task scheduling models.

论文关键词：Cloud computing,Fog computing,Internet of Things,Blockchain,Task scheduling,Ant Colony Optimization

论文评审过程：Received 14 April 2020, Revised 18 September 2020, Accepted 21 September 2020, Available online 30 September 2020, Version of Record 30 September 2020.

论文官网地址：https://doi.org/10.1016/j.ipm.2020.102393