FRCR:Raft consensus scheme based on semi asynchronous federal reconstruction

Today, Raft's distributed cluster scale is growing rapidly and cluster throughput is declining. The Raft consensus algorithm needs to be continuously optimized to adapt to a complex and changeable application environment. To solve the above problems, we propose a federal reconstruction Committe...

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Veröffentlicht in:	IEEE eTransactions on network and service management Jg. 19; H. 4; S. 1
Hauptverfasser:	Rong, Baojun, Zheng, Zhaohui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.12.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Clustering algorithms Clusters Committee Data models Distributed consensus Elections Federal reconstruction Federated learning Reconstruction Security Semi asynchronous aggregation Servers Training Voting
ISSN:	1932-4537, 1932-4537
Online-Zugang:	Volltext
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