Software Platforms for Smart Cities

Sant’Ana, Eduardo; Chaves, Ana Paula; Gerosa, Marco Aurélio; Kon, Fábio; Milojicic, Dejan

doi:10.1145/3124391

Cited by 129 publications

(49 citation statements)

References 70 publications

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“…Resource usage should be monitored, resources allocated in a right manner, and resource conflicts solved. In IoT architectures, especially in service oriented or virtual machine (VM)-based architectures, middleware needs to facilitate resource (service) composition, to satisfy users and applications needs [12], [16], [20]- [23]. 3) Data management: Users and applications require managing large volumes of data generated by devices and transmitted through the network infrastructure.…”

Section: System Functional Requirementsmentioning

confidence: 99%

“…3) Data management: Users and applications require managing large volumes of data generated by devices and transmitted through the network infrastructure. A smart city system needs to provide data management services to applications, including data collection, data streaming and processing, and data storage [12], [16], [20]- [25]. 4) Event management: Smart city systems need to control events in progress (i.e.…”

Section: System Functional Requirementsmentioning

confidence: 99%

“…Some platforms provide a complete environment for developers to deploy their applications. Other platforms offer an execution run-time service for applications with tools that the platforms provide [16]. 7) External data access: Smart city platforms require providing an interface to data access from external applications.…”

Section: System Functional Requirementsmentioning

confidence: 99%

“…The most common approach is an application program interface (API) to access the data collected from the city. Some smart city platforms use the concept of data as a service to make the data available to users and applications [16]. 8) Software engineering tools: Smart city platforms require providing a set of tools for the development and maintenance of services and applications.…”

Section: System Functional Requirementsmentioning

confidence: 99%

“…These requirements are also relevant in the design of reference architectures for smart cities. Santana, Eduardo Felipe Zambom, et al [16] extract the main requirements, components and features from smart city platforms to derive a reference architecture that facilitates the development of smart city applications. Each level in the reference architecture supports some functional and non-functional requirements.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Requirements Framework for the Design of Smart City Reference Architectures

Bastidas¹,

Helfert²,

Bezbradica³

2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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Reference architectures are generalized models of several end systems that share one or more common domains. They facilitate the design of high-quality concrete architectures and the communication between domain professionals. The reference architecture approach should be applied in the smart city domain because of its complexity where different stakeholders and heterogeneous systems and technologies must coexist and interact. Smart cities reference architectures should offer a cooperative framework for stakeholders and a guide to design concrete architectures. Industry and academia have proposed different requirements for concrete architectures. However, there is a lack of standardization in the requirements for the design of smart city reference architectures. This can produce that concrete architectures do not meet citizens' requirements. The goal of this paper is to define a set of requirements for the design of smart city reference architectures. We conduct a literature review to find the requirements which should fulfil these reference architectures.

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Section: System Functional Requirementsmentioning

confidence: 99%

Section: System Functional Requirementsmentioning

confidence: 99%

Section: System Functional Requirementsmentioning

confidence: 99%

Section: System Functional Requirementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Requirements Framework for the Design of Smart City Reference Architectures

Bastidas¹,

Helfert²,

Bezbradica³

2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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Cross‐network service recommendation in smart cities

Mezni,

Sellami,

Al‐Rasheed

et al. 2024

Concurrency and Computation

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SummaryNowadays, Internet of Things, artificial intelligence, cloud computing, and other revolutionary technologies (e.g., edge and fog computing) have become the pillar of smart cities. These latter make users' lives easier, thanks to a wide variety of smart services offered in different dimensions (e.g., smart living, smart mobility, smart economy, smart governance). However, the rapid adoption of smart services by users and the full servicelization of several cities around the world is faced with two major issues: the lack of knowledge regarding smart services' capacities (e.g., features, contextual requirements, pricing models, privacy policies, provisioning terms, etc.), and the lack of unified rating and quantification of smart services' QoS behavior. Indeed, interested users often exploit traditional search tools (e.g., Web search engines, social networks) to find and rate the needed services. This behavior has scattered the smart services' usage data (e.g., users contexts, ratings) across multiple providers platforms, which makes the search task beyond the capacity of users and, even, other service providers. Although recommender systems are a natural solution to exempt users from exploring the huge space of the offered smart services, current recommendation approaches for smart city environments are unable to deliver correct recommendations. In fact, they have been initially designed to single‐network settings (a single service repository), while smart services' consumers often are involved in multiple provider platforms. To the best of our knowledge, there exists no approach that treated smart service recommendation across multiple information networks. Therefore, the goal of this paper is to propose a cross‐network recommender system for smart cities. We first model the multiplex network of smart services' providers as a multirelational fuzzy lattice family thanks to fuzzy relational concept analysis (fuzzy RCA), which is a powerful mathematical method for data analysis and clustering. We also use the concept of anchor users to connect providers networks via the users involved in more than one provider platform. Guided by anchors' cross‐network relations, we compute the similarity between users and we define algorithms for exploring the smart services' information network, i.e. lattice family. Extensive experiments have proved the effectiveness of cross‐network recommendation and the quality of produced recommendations, compared to state‐of‐the‐art single‐network recommendation.

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Smart city and resilient city: Differences and connections

Zhu

Feng

et al. 2020

WIREs Data Min & Knowl

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Smart city (SC) and resilient city (RC) have been studied and practiced over the years in terms of the increasing urban problems and disasters. However, there is a large overlap between their meanings and relationships. With an increasing concern for both SC and RC in urban development and hazard mitigation, a review was conducted to explore the differences and connections between SC and RC with scientometric analysis. There are far more literatures about SC than RC, and very few papers discuss SC and RC together. The research trend, category, and hotspots from research clusters are illustrated and compared. Major differences are discussed from their objectives, driving force, current research focus, and criticism. The literatures both related to SC and RC are used to explore their connections, which are very limited. The results revealed that the RC's impact on SC are positive from physical, social, and environmental aspects, while SC's impacts on RC could be both positive and negative from the above three aspects. It is indicated that SC and RC are both important for urban planning and can be complementary to each other through proper design and governance, which implies the need for building a resilient smart city (RSC).

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Software Platforms for Smart Cities

Cited by 129 publications

References 70 publications

A Requirements Framework for the Design of Smart City Reference Architectures

A Requirements Framework for the Design of Smart City Reference Architectures

Cross‐network service recommendation in smart cities

Smart city and resilient city: Differences and connections

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