4.7 Article

Integrated Blockchain and Edge Computing Systems: A Survey, Some Research Issues and Challenges

Journal

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
Volume 21, Issue 2, Pages 1508-1532

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/COMST.2019.2894727

Keywords

Blockchain; edge computing; network; storage; computation

Funding

  1. Basic Research Program of the Beijing University of Technology (BJUT)
  2. Beijing Post-Doctoral Fund
  3. Support Project of High-Level Teachers in Beijing Municipal Universities in the Period of 13th Five-Year Plan [067175315000]
  4. National Natural Science Foundation of China [61671029, 61571021]

Ask authors/readers for more resources

Blockchain, as the underlying technology of crypto-currencies, has attracted significant attention. It has been adopted in numerous applications, such as smart grid and Internet-of-Things. However, there is a significant scalability barrier for blockchain, which limits its ability to support services with frequent transactions. On the other side, edge computing is introduced to extend the cloud resources and services to be distributed at the edge of the network, but currently faces challenges in its decentralized management and security. The integration of blockchain and edge computing into one system can enable reliable access and control of the network, storage, and computation distributed at the edges, hence providing a large scale of network servers, data storage, and validity computation near the end in a secure manner. Despite the prospect of integrated blockchain and edge computing systems, its scalability enhancement, self organization, functions integration, resource management, and new security issues remain to be addressed before widespread deployment. In this survey, we investigate some of the work that has been done to enable the integrated blockchain and edge computing system and discuss the research challenges. We identify several vital aspects of the integration of blockchain and edge computing: motivations, frameworks, enabling functionalities, and challenges. Finally, some broader perspectives are explored.

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