Distributed directional data storage P2P network based on Kademlia algorithm

Abstract

The invention provides a mobile equipment distributed directional storage P2P network based on Kademlia. The method comprises the following steps: sorting nodes Id and dividing storage intervals basedon a Kademlia algorithm; according to the storage interval splitting method, when the number of nodes in a certain interval is large enough, splitting can be conducted from the middle of the interval, and guaranteeing balance of data redundancy. the invention discloses a data storage, synchronization, downloading and recovery method. According to the technical scheme, a high-efficiency and light-weight data storage method is provided on the premise of ensuring data security, data redundancy can be minimized on the premise of certain data security, the redundancy of data can be stably maintained within a set range along with continuous increase of the number of nodes, and light weight of each node is ensured.

Description

technical field [0001] The invention relates to the field of network communication, in particular to a decentralized, Kademlia algorithm-based distributed directional data storage P2P network. Background technique [0002] Although the traditional blockchain solves the problem of centralization, the blockchain only realizes the function of distributed storage ledger, and can only store the transaction address and transaction amount of nodes. The storage mode of the blockchain is too simple, and the data storage of the blockchain belongs to full storage, that is, each node stores all the data on the entire chain. The current blockchain storage model has the following disadvantages: [0003] (1) The stored data is too single, limited to transaction data; [0004] (2) The amount of stored data is too large, and full storage is required. It is not conducive to data transmission and maintenance, and equipment failure can easily lead to data loss and serious system loss; [00...

AI Technical Summary

Problems solved by technology

[0003] (1) The stored data is too single, limited to transaction data;

[0004] (2) The amount of stored data is too large, and full storage is required

It is not conducive to data transmission and maintenance, and equipment failure can easily lead to data loss and serious system loss;

[0005] (3) The network overhead is large, and every transaction needs to be broadcasted on the entire network, which occupies a large network bandwidth;

[0006] (4) Storage costs are high, equipment configuration requirements are high, and the amount of data stored in the era of big data is too large, which will increase operating costs;

[0007] (5) The recovery efficiency is low and the recovery time is too slow;

[0008] (6) The storage device has high limitations and can only be stored in fixed node devices

Images