Simulation of Big Data Compatibility Cloud Storage Method Based on Greedy Algorithm
At this stage,the storage of big data in the cloud environment still has the problems of low storage effi-ciency and poor rationality of bandwidth.Due to the huge amount of big data and the characteristics of difficult collec-tion and analysis,it is difficult to achieve accurate and compatible storage of big data.Therefore,a big data compatible cloud storage method based on greedy algorithm is proposed.Obtain the basic framework of data storage according to the big data cloud storage process.The greedy algorithm is introduced to reconstruct the bit power of the cloud storage node through the cyclic iteration of the greedy algorithm,so as to transform the initial cloud storage environment into an optimized cloud storage environment with the same access data selection strategy,improve the compatibility of the big data cloud storage process,and complete the big data compatible cloud storage.The experimental test results show that the proposed method has less data missing storage reserves within the specified time,the response time of users downloading data is always less than 5ms,and the error sample size of big data compatibility cloud storage is less than 100bit,indicating that the proposed method has strong applicability and high research value.
Big datacompatibilityCloud storageGreedy algorithmCyclic iterative reconstruction
NETL
NSTL
万方数据
维普
