A Holistic, Interdisciplinary Decision Support System for Sustainable Smart City Design

Schleicher, Johannes M.; Vögler, Michael; Inzinger, Christian; Fritz, Sara; Ziegler, Manuel; Kaufmann, Thomas; Bothe, Dominik; Forster, Julia; Dustdar, Schahram

doi:10.1007/978-3-319-39595-1_1

Cited by 10 publications

(3 citation statements)

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“…The aim of SCALE is to enable stakeholders, citizens, and practitioners in a smart city environment to build novel kinds of applications that can utilize the newfound capabilities emerging through the IoT, as well as accessing the massive amounts of data emitted by the city in an efficient way. Using SCALE, we created the URBEM Smart City Application (USCA) (Schleicher et al, 2016c), a holistic, interdisciplinary decision support system for the city of Vienna and a number of key stakeholders. We argue that such applications will evolve to become composable, interchangeable abstractions of capabilities similar to the applications known from today's smart phones, but on a much larger scale.…”

Section: Motivationmentioning

confidence: 99%

“…As basis for our evaluation we used the URBEM Smart City Application (USCA) (Schleicher et al, 2016c), a holistic interdisciplinary decision support system, which has been used for city infrastructure planning tasks especially in the context of energy and mobility systems. We choose the USCA, because it represents an optimal candidate for our evaluation due to the following characteristics: (i) It heavily relies on a diverse set of data sources, where most of them belong to stakeholders and are under strict security and compliance regulations; (ii) It is an application that has to deal with changing requirements that make it necessary to incorporate new data sources dynamically; (iii) Due to the nature of the application as a planning tool for energy and mobility systems it is a common case to incorporate data sources from other cities around the globe.…”

Section: Evaluation Setupmentioning

confidence: 99%

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

Schleicher

Vögler

Inzinger

et al. 2017

PeerJ Computer Science

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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 across 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.

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Section: Motivationmentioning

confidence: 99%

Section: Evaluation Setupmentioning

confidence: 99%

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

Schleicher

Vögler

Inzinger

et al. 2017

PeerJ Computer Science

Self Cite

View full text Add to dashboard Cite

show abstract

“…A Smart City creates an ecosystem where vast amounts of data can move between actors within complex information supply chains [13]. By leveraging these data flows, Smart City applications can be developed in the areas of Economy, Environment, Energy, Water, Waste, People (intellectual endowment and engagement), Lifestyle, Building, Mobility (Transportation), and Public spaces [1,14].…”

Section: Enabling Smart City Services and Applicationsmentioning

confidence: 99%