Big Data Research ›› 2023, Vol. 9 ›› Issue (4): 3-15.doi: 10.11959/j.issn.2096-0271.2023040

• TOPIC: CROSS-DOMAIN DATA MANAGEMENT • Previous Articles    

Distributed consensus algorithms for crossdomain data management: state-of-the-art, challenges and perspectives

Weiming LI1, Tong LI1,2, Dafang ZHANG1, Longchao DAI1,2, Yunpeng CHAI1,2   

  1. 1 School of Information, Renmin University of China, Beijing 100872, China
    2 Key Laboratory of Data Engineering and Knowledge Engineering, Beijing 100872, China
  • Online:2023-07-01 Published:2023-07-01
  • Supported by:
    The National Natural Science Foundation of China(61972402);The National Natural Science Foundation of China(61972275);The National Natural Science Foundation of China(62202473);Fund for Building World-Class Universities (Disciplines) of Renmin University of China

Abstract:

With the exponential growth of data and the company's cross-domain disaster recovery requirements, companies increasingly need to manage data across spatial domains.Cross-domain data management requires a distributed consensus algorithm to make the data consistent.However, the existing distributed consensus algorithms only consider the situation of a single data center, and do not consider the uncertainty of network communication between data centers, so they face long log synchronization delays and low system throughput in cross-space region scenarios and other issues.The current status and new challenges of distributed consensus algorithms in the cross-space domain were sorted out systematically, and the technical route to solve these challenges was looked forward.

Key words: cross-domain data management, distributed consensus algorithm, log replication, leader election

CLC Number: 

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