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高速非易失存储

Now data are connected with the following characteristics: high volume, high evolution speed, low data quality, and non-structuration. We focus on conducting researches on big data analysis which includes social computing, multi-modal data processing, big data security and data stream processing,techniques for big data management and platform techniques for supporting big data analysis. We also conduct researches on software vulnerability and security checking. In real-time systems, on the one hand, it is required to meet the timing constraints for tasks. On the other hand, we want to minimize the system power consumption. We conduct research on embedded real-time operating systems, embedded graphical user interfaces, energy-efficient real-time task scheduling and strategies for minimizing system workload in real-time database systems.

Research Areas are Big data processing, Social networks, Big data security, Data stream processing, software vulnerability and security checking, energy-efficient real-time task scheduling, strategies for minimizing real-time database workload