Towards the Interoperability of IoT Platforms: A Case Study for Data Collection and Data Storage
Antti Martikkala, Andrei Lobov, Minna Lanz, Iñigo Flores Ituarte
Abstract
Interoperability is one of the biggest challenges in IoT. There is a need to connect tools and services from different platforms to improve performance and flexibility as well as to get rid of vendor-locks. Moreover, fully established practices to classify IoT systems to support the development of multi-platform systems have not been grounded. This paper addresses these issues on a two-fold approach. Firstly, by introducing a classification that is based on the tasks performed in IoT system. Secondly by proposing a conceptual middleware to connect different IoT platforms as for a possible solution for interoperability issues in IoT.
Topics & Concepts
InteroperabilityMiddleware (distributed applications)Internet of ThingsComputer scienceFlexibility (engineering)VendorWorld Wide WebDatabaseSoftware engineeringData scienceStatisticsBusinessMathematicsMarketingIoT and Edge/Fog ComputingContext-Aware Activity Recognition SystemsCloud Computing and Resource Management