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MapReduce programming model is widely used for large scale and one-time data-intensive distributed computing, but lacks flexibility and efficiency of processing small incremental data. IncMR framework is proposed in this paper for incrementally processing new data of a large data set, which takes state as implicit input and combines it with new data. Map tasks are created according to new splits instead...
Analysis of rail freight data is essential to make a better strategy for railway freight traffic organization. However, rail freight data are national-widely stored in data center of railway bureaus. Furthermore, the size of the data is very large and grows rapidly. Although analytical data processing has received much attention these years, little attention is paid to transparently processing data...
In this paper, we propose an autonomic management framework (ASGrid) to address the requirements of emerging large-scale applications in hybrid grid and sensor network systems. To the best of our knowledge, we are the first who proposed the autonomic sensor grid system concept in a holistic manner targeted at non-trivial large applications. To bridge the gap between the physical world and the digital...
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