| Summary: | 碩士 === 國立交通大學 === 資訊科學與工程研究所 === 107 === With the rapidly increasing number of heterogeneous devices and their connectivity because of the great development of IoT, the amount of data have an explosive increase in recent years. However, the dramatic volume of data causes the problem of storage and network traffic load especially for the small and medium enterprises which have limit resources and funding. To deal with the problem, we use a distributed system and the compression technique to tackle the data with tremendous volume. In addition, compression methods can be categorized into lossless compression and lossy compression, we will show the difference and compare them in some aspect, such as space saving ratio and speed etc. After compression, we store compressed data in MongoDB, which is a NoSQL database. Furthermore, we offer the API service for users to fetch data in databases.
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