Abstract
The article relates to a hybrid storage system and method for processing massive heterogeneous data, mainly for the real-time information collection, high-speed storage and timely indexing in the mobile environment. The article provides a common heterogeneous data resource metadata description model, data mixed storage solution to standardize the sharing process of massive heterogeneous data resources, and provides an optimized index construction algorithm and data archiving method to realize the collection of massive data, index building and persistence, in order to complete the data resources sharing and effective use in mobile environment. The method in the article can effectively deal with various complex problems in mobile environment, for example, the heterogeneous data structure, a huge number, scattered physical location, the data complex content and so on.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Huang, Y.H., Li, G.Y.: Descriptive models for Internet of Things. In: International Conference on Intelligent Control and Information Processing, Harbin, China, pp. 483–486. IEEE Press (2010)
Xu, L.D., He, W., Li, S.: Internet of Things in industries: a survey. IEEE Trans. Ind. Inf. 10(4), 2233–2243 (2014)
Yuxiang, Y., Cheng, X.: A development analysis of China’s intelligent transportation system. In: Proceedings of the 2012 IEEE 16th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 23–25 May 2012
Wang, H., Zhang, T., Quan, Y., et al.: Research on the framework of the environment Internet of Things. Int. J. Sustain. Dev. Work Ecol. 20(3), 199–204 (2013)
Duan, Y.-E.: Design of intelligent agriculture management information system based on IoT. In: Proceedings of the 2011 International Conference on Intelligent Computation Technology and Automation (ICICTA), 28–29 March 2011
Lu, D., Liu, T.: The application of IOT in medical system. In: International Symposium on IT in Medicine and Education, pp. 272–275. IEEE (2011)
Datta, S.K., Rui, P.F.D.C., Bonnet, C., et al.: oneM2M architecture based IoT framework for mobile crowd sensing in smart cities. In: European Conference on Networks and Communications (2016)
Jian, A., Xiaolin, G., Jianwei, Y., et al.: Mobile crowd sensing for Internet of Things: a credible crowdsourcing model in mobile-sense service. In: IEEE International Conference on Multimedia Big Data, pp. 92–99. IEEE (2015)
Jeffery, K.G.: The Internet of Things: the death of traditional database? IEEE Techn. Rev. 26, 311–312 (2009)
James, A., Cooper, J., Jeffery, K.: Research Directions in Database Architectures for the Internet of Things: A Communication of the First International Workshop on Database Architectures for the Internet of Things (DAIT 2009) (2009)
Zhang, Y., Han, W., Wang, W., et al.: Optimizing the storage of massive electronic pedigrees in HDFS. In: Proceedings of the 3rd International Conference on the Internet of Things, pp. 68–75. IEEE (2012)
Zhang, G., Li, C., Zhang, Y., et al.: SemanMedical: a kind of semantic medical monitoring system model based on the IoT sensors. In: Proceedings of the IEEE 14th International Conference on e-Health Networking, Applications and Services, pp. 238–243. IEEE (2012)
Paul, L., Dirk, M., Andre, B.: HashFS: applying hashing to optimize file systems for small file reads. In: Proceedings of the International Workshop on Storage Network Architecture and Parallel I/Os, pp. 33–42. IEEE (2010)
Zhang, Y., Liu, D.: Improving the efficiency of storing for small files in HDFS. In: Proceedings of the International Conference on Computer Science and Service System, pp. 2239–2242. IEEE (2012)
Yang, H., Qin, Y., Feng, G., et al.: Online monitoring of geological CO2 storage and leakage based on wireless sensor networks. IEEE Sens. J. 13(2), 556–562 (2013)
Chang, P., Wand, T.: Supporting personal mobility with integrated RFID in VoIP systems. In: Proceedings of the International Conference on New Trends in Information and Service, pp. 1352–1359. IEEE (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Wu, S., Yi, F. (2018). Research on Hybrid Storage Method of Massive Heterogeneous Data for Mobile Environment. In: Park, J., Loia, V., Yi, G., Sung, Y. (eds) Advances in Computer Science and Ubiquitous Computing. CUTE CSA 2017 2017. Lecture Notes in Electrical Engineering, vol 474. Springer, Singapore. https://doi.org/10.1007/978-981-10-7605-3_103
Download citation
DOI: https://doi.org/10.1007/978-981-10-7605-3_103
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-7604-6
Online ISBN: 978-981-10-7605-3
eBook Packages: EngineeringEngineering (R0)