Data-sharing markets for integrating IoT data processing functionalities




Faculty/Professorship: Mobile Software Systems 
Author(s): Kasrin, Nasr ; Benabbas, Aboubakr  ; Elmamooz, Golnaz  ; Nicklas, Daniela  ; Steuer, Simon ; Sünkel, Michael  
Publisher Information: Bamberg : Otto-Friedrich-Universität
Year of publication: 2022
Pages: 76-93
Source/Other editions: CCF transactions on pervasive computing and interaction, 3 (2021), 1, S. 76-93- ISSN: 2524-521X
is version of: 10.1007/s42486-020-00054-y
Year of first publication: 2021
Language(s): English
Licence: Creative Commons - CC BY - Attribution 4.0 International 
URN: urn:nbn:de:bvb:473-irb-549518
Abstract: 
The recent evolution of the Internet of Things into a cyber-physical reality has spawned various challenges from a data management perspective. In addition, IoT platform designers are faced with another set of questions. How can platforms be extended to smoothly integrate new data management functionalities? Currently, data processing related tasks are typically realized by manually developed code and functions which creates difficulties in maintenance and growth. Hence we need to explore other approaches to integration for IoT platforms. In this paper we cover both these aspects: (1) we explore several emerging data management challenges, and (2) we propose an IoT platform integration model that can combine disparate functionalities under one roof. For the first, we focus on the following challenges: sensor data quality, privacy in data streams, machine learning model management, and resource-aware data management. For the second, we propose an information-integration model for IoT platforms. The model revolves around the concept of a Data-Sharing Market where data management functionalities can share and exchange information about their data with other functionalities. In addition, data-sharing markets themselves can be combined into networks of markets where information flows from one market to another, which creates a web of information exchange about data resources. To motivate this work we present a use-case application in smart cities.
GND Keywords: Internet der Dinge; Informationssystem; Datenmanagement; Datenqualität; Privatsphäre; Maschinelles Lernen
Keywords: Internet of Things, Resource-Awareness, Infrastructure Design, Information Integration, Data Management Systems, Data Quality, Privacy, Machine Learning Model Management
DDC Classification: 004 Computer science  
RVK Classification: ST 270   
Type: Article
URI: https://fis.uni-bamberg.de/handle/uniba/54951
Release Date: 29. July 2022

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