۱- Introduction

۲- Data mining structure in large cloud storage system

۳- Optimize algorithm design for IoT data access storage

۴- Optimization methods of file storage

۵- Performance test of optimization algorithm of IoT data access cloud storage

۶- Conclusion

References

Abstract

The existing Internet of Things(IoT) uses cloud computing data access storage algorithms, that is, the hash algorithm has defects of low data processing efficiency and low fault tolerance rate. Therefore, HDFS is introduced to optimize cloud computing data access storage algorithms. HDFS is first used to optimize the data access storage architecture according to problems of data access storage architecture in the Internet of Things, in which factors of data access storage distribution in the IoT are fully considered, and hash values are used to optimize the configuration of data access information storage locations, so that data access storage distribution strategy can be optimized. Then, the topology of the IoT is optimized, and data block size is also optimized with effect algorithm. Finally, the design of file storage is optimized. Through simulation experiments, it is proved that the optimized cloud storage method has obvious performance advantages in file read and write speed as well as memory usage. Compared with the traditional hash algorithm, optimization algorithm proposed in the paper greatly improves file upload and download efficiency, data processing efficiency and fault tolerance rate, which fully demonstrates that the proposed cloud computing data access storage optimization algorithm is more superior.

Introduction

Cloud computing is mainly based on the Internet technology and provides users with services, uses, and interactions. Generally, dynamic and proliferative and virtualized resources are provided through the Internet. Among them, ‘‘Cloud’’ is a metaphor for the Internet and the network, which is mainly an abstract representation of the Internet and infrastructure. There are many definitions for cloud computing, and most of them are accepted by the American Institute of Technology. Today, cloud computing is a payment-based model that provides convenient, available, on-demand network access, and it only required less effort to interact a bit with the vendor if access to a configurable pool of computing resources is needed. Besides, cloud computing has the large quantity of advantages, such as ultra-large scale, virtualization, high reliability, versatility, high scalability, on-demand service, low cost and so on. Moreover, cloud computing can provide storage services in addition to computing services. Due to its multiple advantages, cloud computing is widely used in many fields. Many enterprises use cloud computing to store their own data access information, which has certain privacy, but there are still potential dangers. Therefore, data access storage optimization in cloud computing has become one of the key research topics among scholars today [1–۳].