Modeling and management of usage-aware distributed datasets for global Smart City Application Ecosystems

Johannes M. Schleicher, Michael Vögler, Christian Inzinger, Schahram Dustdar
2017 PeerJ Computer Science  
The ever-growing amount of data produced by and in today's smart cities offers significant potential for novel applications created by city stakeholders as well as third parties. Current smart city application models mostly assume that data is exclusively managed by and bound to its original application and location. We argue that smart city data must not be constrained to such data silos so that future smart city applications can seamlessly access and integrate data from multiple sources
more » ... multiple cities. In this paper, we present a methodology and toolset to model available smart city data sources and enable efficient, distributed data access in smart city environments. We introduce a modeling abstraction to describe the structure and relevant properties, such as security and compliance constraints, of smart city data sources along with independently accessible subsets in a technology-agnostic way. Based on this abstraction, we present a middleware toolset for efficient and seamless data access through autonomous relocation of relevant subsets of available data sources to improve Quality of Service for smart city applications based on a configurable mechanism. We evaluate our approach using a case study in the context of a distributed city infrastructure decision support system and show that selective relocation of data subsets can significantly reduce application response times.
doi:10.7717/peerj-cs.115 fatcat:pbpcu37pjjhw5jy4eiduxliipu