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--- en:iot-open:data:intro [2019/05/26 16:54] – irena.skarda
+++ en:iot-open:data:intro [2020/07/20 09:00] (current) – external edit 127.0.0.1
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+======  ======
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 ====== Data and Information Management in the Internet of Things ======
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 At the centre of the IoT ecosystem consisting of billions of connected devices is the wealth of information that can be made available through the fusion of data that is produced in real-time, as well as data stored in permanent repositories.
-This information can make the realisation of innovative and unconventional applications and value-added services possible and will act as an immense source for trend analysis and strategic business opportunities. A comprehensive management framework of data and information that is generated and stored by the objects within the IoT is thus required to achieve this goal.
+This information can make the realisation of innovative and unconventional applications and value-added services possible and will act as an immense source for trend analysis and strategic business opportunities. A comprehensive management framework of data and information that is generated and stored by the objects within the IoT is thus required to achieve this goal ((https://www.cbronline.com/internet-of-things/10-of-the-biggest-iot-data-generators-4586937/))
+((https://www.sam-solutions.com/blog/how-much-data-will-iot-create-2017/))
+((http://www.enterprisefeatures.com/6-important-stages-in-the-data-processing-cycle/))
+((https://pinaclsolutions.com/blog/2017/cloud-computing-and-iot))
+((http://internetofthingsagenda.techtarget.com/blog/IoT-Agenda/Its-time-for-fog-edge-computing-in-the-internet-of-things))
+((https://www.digitalocean.com/community/tutorials/hadoop-storm-samza-spark-and-flink-big-data-frameworks-compared))
+((Meng Ma, Ping Wang, and Chao-Hsien Chu. 2013. Data Management for Internet of Things: Challenges, Approaches and Opportunities. In Proceedings of the 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing (GREENCOM-ITHINGS-CPSCOM '13). IEEE Computer Society, Washington, DC, USA, 1144-1151. DOI=http://dx.doi.org/10.1109/GreenCom-iThings-CPSCom.2013.199))
+((M. Marjani et al., "Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges," in IEEE Access, vol. 5, pp. 5247-5261, 2017. doi: 10.1109/ACCESS.2017.2689040 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7888916&isnumber=7859429))
+((C. W. Tsai, C. F. Lai, M. C. Chiang and L. T. Yang, "Data Mining for Internet of Things: A Survey," in IEEE Communications Surveys & Tutorials, vol. 16, no. 1, pp. 77-97, First Quarter 2014. doi: 10.1109/SURV.2013.103013.00206 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6674155&isnumber=6734839)).
 Data management is a broad concept referring to the architectures, practices, and procedures for proper management of the data lifecycle requirements of a particular IT system. As far as the IoT is concerned, data management should act as a layer between the physical sensing objects and devices generating the data – on the one hand, and the applications accessing the data for analysis purposes and services – on the other.
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   * "6.9. [[en:iot-open:data:prova]]".
-== Sources==
-  - https://www.cbronline.com/internet-of-things/10-of-the-biggest-iot-data-generators-4586937/
-  - https://www.sam-solutions.com/blog/how-much-data-will-iot-create-2017/
-  - http://www.enterprisefeatures.com/6-important-stages-in-the-data-processing-cycle/
-  - https://pinaclsolutions.com/blog/2017/cloud-computing-and-iot
-  - http://internetofthingsagenda.techtarget.com/blog/IoT-Agenda/Its-time-for-fog-edge-computing-in-the-internet-of-things
-  - https://www.digitalocean.com/community/tutorials/hadoop-storm-samza-spark-and-flink-big-data-frameworks-compared
-  - Meng Ma, Ping Wang, and Chao-Hsien Chu. 2013. Data Management for Internet of Things: Challenges, Approaches and Opportunities. In Proceedings of the 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing (GREENCOM-ITHINGS-CPSCOM '13). IEEE Computer Society, Washington, DC, USA, 1144-1151. DOI=http://dx.doi.org/10.1109/GreenCom-iThings-CPSCom.2013.199
-  - M. Marjani et al., "Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges," in IEEE Access, vol. 5, pp. 5247-5261, 2017. doi: 10.1109/ACCESS.2017.2689040 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7888916&isnumber=7859429
-  - C. W. Tsai, C. F. Lai, M. C. Chiang and L. T. Yang, "Data Mining for Internet of Things: A Survey," in IEEE Communications Surveys & Tutorials, vol. 16, no. 1, pp. 77-97, First Quarter 2014. doi: 10.1109/SURV.2013.103013.00206 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6674155&isnumber=6734839

en/iot-open/data/intro.1558889655.txt.gz · Last modified: 2020/07/20 09:00 (external edit)