Abstract
With the rapid expansion of data volume, traditional data storage methods have been unable to meet the practical application requirements of blockchain cloud storage. Aiming for the cloud storage problem of blockchain, a new storage access method for predicting dynamic file load is proposed. By predicting the load status of cloud storage files in advance, the load of each blockchain data node at the next moment is first estimated. A hierarchical genetic algorithm is used to construct the connection weights between the hidden layer and the output layer, which makes the data network converge faster and more accurate, thereby effectively predicting the node load. In addition, based on the file allocation, an evaluation analysis model is constructed to obtain the time response capability of each file during the allocation process. The node’s periodic load prediction value is used to calculate the corresponding weight of the node and it is continuously updated, retaining the advantages of the static weighted polling algorithm. Combined with the genetic algorithm to help predict the file assignment access strategy of the later load of each node, it can meet the system requirements under complex load conditions and provide a reasonable and effective cloud storage method. The experimental evaluation of the proposed new strategy and new algorithm verifies that the new storage method has a faster response time, more balanced load, and greatly reduced energy consumption.
Highlights
Blockchain is regarded as a public ledger, in which all committed transactions are stored in a chain of blocks
In order to make the cloud storage response time as fast as possible, at the same time, each data node in the blockchain system is in a balanced load state as much as possible, and a dynamic file storage access strategy combined with the predicted load state is proposed
After the source data packets collected by the genetic algorithm convergence node are passed to some nodes in the cloud storage system, based on this part of the nodes, we arrange the historical blockchain data in the cloud storage data volume according to the time sequence into a time stamp sequence
Summary
Blockchain is regarded as a public ledger, in which all committed transactions are stored in a chain of blocks. Aimed at various problems existing in current cloud storage strategies, a new blockchain cloud storage strategy for predicting dynamic files is proposed This method performs model analysis on file assignment access, and provides a suitable load node for the storage layout of dynamic files by estimating the blockchain data node load model [19,20,21]. Combined with the fastest storage response strategy, the relationship between the system working environment and the node load is effectively realized to allow blockchain data to access to storage quickly and reliably under the cloud platform. The proposed new cloud storage method is validated, which can adapt to various load modes of the blockchain storage system and can store storage access to the file system.
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