Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: With the rapid increasing of network scale, the size of traffic data also expands a lot. In traditional traffic data analysis, there are some problems, such as high computation complexity, low analysis efficiency, long learning period, and difficulty of development. To address these problems,  design and implement a GPU-accelerated parallel analysis scheme for network traffic - EasyAnalyze. In EasyAnalyze,  introduce GPU parallel computing, Map/Reduce architecture into network traffic analysis, which greatly improves the efficiency but does not increase the difficulty in programming. In the experiments, EasyAnalyze shows very promising results: 1 the speed is 6-17 times faster than conventional serial analysis in network traffic data analysis; and 2 the size of code is only 2% of the mainstream GPU Map/Reduce.
['Jingjing Hu', 'Rufeng An', 'Liehuang Zhu']
I am writing a research paper on a idea A GPU-accelerated parallel network traffic analysis system
[{"from": "human", "value": "I am writing a research paper on a idea A GPU-accelerated parallel network traffic analysis system"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: With the rapid increasing of network scale, the size of traffic data also expands a lot. In traditional traffic data analysis, there are some problems, such as high computation complexity, low analysis efficiency, long learning period, and difficulty of development. To address these problems,  design and implement a GPU-accelerated parallel analysis scheme for network traffic - EasyAnalyze. In EasyAnalyze,  introduce GPU parallel computing, Map/Reduce architecture into network traffic analysis, which greatly improves the efficiency but does not increase the difficulty in programming. In the experiments, EasyAnalyze shows very promising results: 1 the speed is 6-17 times faster than conventional serial analysis in network traffic data analysis; and 2 the size of code is only 2% of the mainstream GPU Map/Reduce."}]