Cloud storage method and system for access of mobile device

Abstract

The present invention discloses a cloud storage system suitable for the access of a mobile device. The cloud storage system is divided into two layers: a mobile node group layer - a storage node layer, wherein a mobile node group provides a function of a cache layer. The system employs a complete ectypal mode, provides high-performance data storage services for the mobile device while guaranteeing the reliability of data. The system employs a dynamic replica management algorithm of a curve fitting heat value for managing the duplicate in the mobile node group, and mobile equipment transmits a data access request to the nearest mobile node group. A group leader selects a free mobile node in the group and performs a data service according to the type of a mobile client access request. If the data, to which the mobile client needs to access, is not in the nearest node group, the mobile node replaces the mobile device to access a storage node. The method of the invention can reduce the pressure of the mobile client in processing the data, improves the access speed while reducing the power consumption of the mobile client, reduces the redundant data in the system, and saves the storage space.

Description

technical field [0001] The invention belongs to the field of computer data storage, and more particularly relates to a cloud storage method and system suitable for mobile device access. Background technique [0002] With the advent of the era of big data, the scale of data has grown explosively. Faced with the storage and processing of such a huge amount of data, cloud storage technology has emerged as the times require. Cloud storage provides the underlying data storage function for cloud computing. It provides massive storage space, highly reliable and easily expandable storage system. However, cloud storage systems such as GFS and Hadoop are currently one-dimensional cloud storage systems. Users directly obtain data by reading storage nodes in the system. However, due to factors such as the distance between users and storage nodes, network and data storage methods, etc. The impact of , will bring the disadvantages of delay and load increase to the user client. [0003] ...

AI Technical Summary

Problems solved by technology

However, cloud storage systems such as GFS and Hadoop are currently one-dimensional cloud storage systems. Users directly obtain data by reading storage nodes in the system. However, due to factors such as the distance between users and storage nodes, network and data storage methods, etc. , which will bring delays and load-heavy disadvantages to user clients

[0003] With the rapid development of mobile portable devices based on IOS and Android, users use mobile operating systems to access cloud storage more and more frequently. However, mobile devices are sensitive to power consumption, relatively low in computing power, and frequently change locations. Devices and desktop devices directly access the storage nodes of the cloud storage system in the same way, which will definitely increase the access delay of some mobile devices, and the excessive processing of data on the mobile terminal will lead to increased power consumption, which seriously affects the external performance of the cloud storage system. service quality

Images