4.4 Article

Towards Blockchain-Based Resource Allocation Models for Cloud-Edge Computing in IoT Applications

期刊

WIRELESS PERSONAL COMMUNICATIONS
卷 -, 期 -, 页码 -

出版社

SPRINGER
DOI: 10.1007/s11277-021-08213-9

关键词

Internet of Things; Blockchain; Resource allocation; Cloud-edge computing

资金

  1. Henan humanities and Social Sciences Project: Optimization of multi-task and multi-agent sustainable rescue supply chain network in uncertain environment [2021-ZZJH-418]
  2. Key scientific and technological project of Henan Province: Key Technology of intelligent scheduling for multi-product and variable batch flexible assembly line based on fog computing [212102310057]
  3. National Nature Fund: Research on data-driven intelligent scheduling modeling and optimization method for flexible job-shop [U1904167]

向作者/读者索取更多资源

Blockchain technology is increasingly being used to improve privacy and security in resource allocation for edge computing. Resource allocation plays a critical role in enhancing the performance of IoT systems in edge computing. This review aims to classify and compare the principles and technical aspects of blockchain-based resource allocation in cloud-edge computing.
Today, Blockchain technology is emerging to support high secured performance computing. To improve privacy and security factors of allocating, storage, and manage resources in edge computing, blockchain technology can be used to guarantee safe data transmission and communications in the Internet of Things (IoT). Due to the heterogeneity of resources to cover a range number of IoT applications, resource allocation has a key role in increasing the performance of the IoT systems in edge computing. Also, a blockchain-based resource allocation model can support Quality of Service for IoT applications to ensure a highly secured communication environment in edge computing. Therefore, to detect and analyze technical aspects and new research directions in this issue, this paper reviews different existing blockchain-based resource allocation models in cloud-edge computing. From the review papers, we had a very high rate of relevant publishes 2018 to 2020. The most published papers belong to IEEE with 21 published papers. After IEEE, ACM and Elsevier are the next publishers with 8 papers. The introduced approaches in reviewed papers are compared using some known measures such as time, latency, cost, service spread, storage, and delay. This review aims to classify the principles and technical aspects of blockchain-based resource allocation in cloud-edge computing.

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