Handling Big Data in the Era of Internet of Things (IoT)

Koralia Papadokostaki, George Mastorakis, Spyros Panagiotakis, Constandinos X. Mavromoustakis, Ciprian Dobre, Jordi Mongay Batalla

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


In the emerging 5G mobile computing environments, the need for cutting edge technologies regarding data transmission, storage and processing will be more critical than ever. In addition, handling of Big Data that is produced by Internet of Things (IoT) devices and extracting value out of it, is a real challenge for scientists and markets, towards providing extra profit to the society. In this context, this chapter aims to shortly present the correlation between Internet of Things and the expansion of Big Data. At first, a short reference to the evolution of IoT and Big Data is provided and their features are then introduced. In addition, the lifecycle of Big Data in IoT—from capturing to storage and analysis—is shortly described. Finally, two different approaches for the implementation of Big Data are presented, as well as issues in privacy and security are addressed.

Original languageEnglish
Title of host publicationStudies in Big Data
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages20
Publication statusPublished - 2017

Publication series

NameStudies in Big Data
ISSN (Print)2197-6503
ISSN (Electronic)2197-6511


  • Big data
  • Cloud computing
  • Data storage
  • Internet of things (IoT)
  • Privacy
  • RFIDs
  • Wearables
  • WSNs


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