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Distributed Processing System, 2020, 1(2); doi: 10.38007/DPS.2020.010201.

State Consistency Algorithm of Peer-to-Peer Distributed System Based on Support Vector Machine Algorithm


Pushpit Ijazr

Corresponding Author:
Pushpit Ijazr

Dhurakij Pundit University, Thailand


Distributed consensus algorithms are the basis for building highly available systems, which enable a group of machines to work together as a hardened combination and tolerate the failure of some of them. However, none of the existing distributed consensus algorithms can simultaneously achieve high throughput. The purpose of this paper is to study the state consistency algorithm of point-to-point distributed system based on support vector machine algorithm, and analyze the design ideas, design ideas, corresponding key points, advantages and disadvantages of existing distributed consensus algorithms. Aiming at the problems and shortcomings of the distributed consensus algorithm, a new and better distributed consensus algorithm is proposed, and the correctness of the algorithm is proved. The performance of the algorithm proposed in this paper is evaluated through experiments, and the performance of the proposed algorithm is compared with the existing related algorithms to verify the advantages and disadvantages of the algorithm. The simulation results show that in the point-to-point distributed system state consistency algorithm based on the support vector machine algorithm, the performance of the system processing read operations is improved by an average of 145%, and the waiting time of user read operations is reduced by an average of 72%.


Support Vector Machine, Distributed System, Consensus Algorithm, Algorithm Evaluation

Cite This Paper

Pushpit Ijazr. State Consistency Algorithm of Peer-to-Peer Distributed System Based on Support Vector Machine Algorithm. Distributed Processing System (2020), Vol. 1, Issue 2: 1-9. https://doi.org/10.38007/DPS.2020.010201.


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