| Summary: | 碩士 === 國立政治大學 === 資訊管理研究所 === 102 === Continuing innovation in information technology, using cloud storage and cloud computing services, the number of users gradually become more in the past years. More and more Small and Medium Enterprises (SME) try to keep all the information in order to carry out a more powerful analysis to predict changes in the industrial environment. With the rapid growth of data, the data in the past two years to establish the total world today, accounting for more than 90%. And today, cloud service charges and the amount of data stored in the cloud is proportional to the cost. Base on cost and information security consideration, many SME may abandon the cloud service providers to provide solutions.
In this study, we use the advantages of Google spreadsheets: huge amount of storage, and the advantages of local database: higher security, access fast on small amount of data. Combine both of two advantages and coordinate the data processing module of this study. This study proposes and inspects a distributed storage architecture platform, with shops selling merchandise flow as a platform for application cases, dividing data stored in local and cloud database, to save local storage space, and to reach a large number of non-critical data stored in Google spreadsheets advantages.
In the application cases, this study successfully validated cloud platform for distributed storage architecture and the application of the feasibility of wide-ranging, in addition to solving the original Google Spreadsheets data as the database query limit issues, and cutting dispersion in the data storage process additional findings of this storage method can achieve part of information security, and in the case of the larger amount of data can be compared to the traditional local database storage method saves more space. This platform architecture provides SME lower barriers to entry and low cost of distributed storage platform, database backup and backup easy backup on the line also has the advantage of fast on-line backup.
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