| Data cloud service platform aims to solve the problem that in the multi-system platform, the log data has variable formats and the exchange between different systems becomes very hard because every system collect their own log data which results in the waste of storage resource.The thesis aims to design and implement the data cloud service platform based on a scalable log system. It provides a stable and scalable system combining with the big data storage, synchronization, analysis and monitoring service. It collects the log data from different systems by providing coherent application interface. It also provides data analyze service with the help of some computing clusters through which user could submits their own analysis task to the platform and get their own result. At the same time, the platform could provide different data to different users for business or research area. This platform is built to collect logging data effectively and provides the management and data analysis function which could explore the value of data massively. |
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