Abstract
Spatio-temporal data is one of the most important assets in the context of smart cities. Spatio-temporal big data comes from a variety of sensor devices, implies the state of urban operation, insight into the development trend. Due to the multidimensional characteristics and diverse analysis needs of spatial-temporal data, data analysis based on spatial-temporal data must take into account the large capacity, diversity and frequent changes of data. This makes spatial and temporal data analysis more difficult. In order to simplify the analysis of spatio-temporal data, a service-oriented intelligent framework is proposed. Firstly, the concept of spatio-temporal data service is introduced into the framework, and several common spatio-temporal data service models are defined. Then, a configurable scripting language was proposed to define the analytic application. We also developed a prototype tool to implement spatio-temporal data services on Hadoop. In order to prove the applicability of our method, we demonstrate the effectiveness of our work through a practical application-based study.
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Acknowledgments
This work was supported by the Youth Program of National Natural Science Foundation of China (No. 61702014), Beijing Natural Science Foundation (No. 4192020), Youth Innovation Foundation of North China University of Technology (No. XN018022), and the R&D General Program of Beijing Education Commission (Grant No. KM201810009004).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhou, J., Ding, W., Zhao, Z., Li, H. (2019). SMART: A Service-Oriented Statistical Analysis Framework on Spatio-Temporal Big Data (Short Paper). In: Wang, X., Gao, H., Iqbal, M., Min, G. (eds) Collaborative Computing: Networking, Applications and Worksharing. CollaborateCom 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 292. Springer, Cham. https://doi.org/10.1007/978-3-030-30146-0_7
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DOI: https://doi.org/10.1007/978-3-030-30146-0_7
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