Thesis Details
Zpracování velkých dat z rozsáhlých IoT sítí
The goal of this diploma thesis is to design and develop a system for collecting, processing and storing data from large IoT networks. The developed system introduces a complex solution able to process data from various IoT networks using Apache Hadoop ecosystem. The data are real-time processed and stored in a NoSQL database, but the data are also stored in the file system for a potential later processing. The system is optimized and tested using data from IQRF network. The data stored in the NoSQL database are visualized and the system periodically generates derived predictions. Users are connected to this system via an information system, which is able to automatically generate notifications when monitored values are out of range.
BigData, IoT, Apache, Hadoop, database, NoSQL, distributed file system, Java, real-time, HDFS, Flume, Spark, information system, OpenTSDB, Grafana, HBase, Avro, batch processing, linear regression, predictions, Ambari, IQRF
Janoušek Vladimír, doc. Ing., Ph.D. (DITS FIT BUT), člen
Kolář Dušan, doc. Dr. Ing. (DIFS FIT BUT), člen
Malinka Kamil, Mgr., Ph.D. (DITS FIT BUT), člen
Rybička Jiří, doc. Ing. Dr. (Mendelu), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
@mastersthesis{FITMT22037, author = "Kriszti\'{a}n Benk\H{o}", type = "Master's thesis", title = "Zpracov\'{a}n\'{i} velk\'{y}ch dat z rozs\'{a}hl\'{y}ch IoT s\'{i}t\'{i}", school = "Brno University of Technology, Faculty of Information Technology", year = 2019, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/22037/" }