A Hybrid File Storage Method for Crowd-Sensing Process

Abstract

With the development of sensing technologies and popularization of intelligent mobile phone, crowd-sensing has entered the central stage of mobile computing. A huge amount of sensing data collected from all kinds of mobile intelligent terminals form lots of files with different sizes, which need to be effectively data stored method into a file system or a data warehouse. To solve these problems, a hybrid file storage method is designed in the paper, which can support hybrid storage for all kinds of files from sensors of crowd-sensing process by classifying files to big files and small files, and storing these two types of files by different storing and transferring strategies. In addition, a load balancing method of metadata servers based on a genetic algorithm is also proposed to make file storage more adaptive to dynamic changing loads. Finally, experiments have been conducted to verify the effectiveness of storage method for files sensing data designed in the paper.