SmartCityWare: A Service-Oriented Middleware for Cloud and Fog Enabled Smart City Services

Mohamed, Nader; Al-Jaroodi, Jameela; Jawhar, Imad; Lazarova-Molnar, Sanja; Mahmoud, Sara

doi:10.1109/access.2017.2731382

Cited by 122 publications

(76 citation statements)

References 36 publications

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“…In the work of Mohamed et al, the authors presented a service‐oriented middleware approach called SmartCityWare to integrate cloud‐of‐things and fog computing for different smart city applications. The SmartCityWare provides a virtual environment to develop and operate smart city applications by creating a set of services and using a multi‐agent runtime environment.…”

Section: Related Workmentioning

confidence: 99%

“…In the context of smart cities there is a lot of ongoing research on Internet‐of‐Things (IoT) and edge‐computing to distribute computing model at edge of the IT infrastructure in order to gain functional and geographical scalability . However, most existing solutions focus on IoT and/or sensors data processing through edge computing enabled deployment models.…”

Section: Introductionmentioning

confidence: 99%

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Blockchain and edge computing–based architecture for participatory smart city applications

Khan

Abbasi

Pervez

2019

Concurrency and Computation

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Smart cities aim to provide smart governance with the emphasis on gaining high transparency and trust in public services and enabling citizen participation in decision making processes.This means on the one hand data generated from urban transactions need to be open and trustworthy. On the other hand, security and privacy of public data needs to be handled at different administrative and geographical levels. In this paper, we investigate the pivotal role of blockchain in providing privacy, self-verification, authentication, and authorization of participatory transactions in open governance. We also investigate up to what extent edge computing can contribute toward management of permissioned sharing at specific administrative levels and enhance privacy and provide an economic approach for resource utilization in a distributed environment. We introduce a novel architecture that is based on distributed hybrid ledger and edge computing model. The architecture provides refined and secure management of data generated and processed in different geographical and administrative units of a city.We implemented a proof of concept of the architecture and applied it on a carefully designed use case, ie, citizen participation in administrative decisions through consensus. This use case highlights the need to keep and process citizen participation data at local level by deploying district chaincodes and only share consensus results through permissioned chaincodes. The results reveal that proposed architecture is scalable and provide secure and privacy protected environment for citizen participatory applications. Our performance test results are promising and show that under control conditions, the average registration time for a citizen transaction is about 42 ms, whilst the validation and result compilation of 100 concurrent citizens' transactions took about 2.4 seconds. INTRODUCTIONSmart cities are becoming prevalent in urban areas to deal with different societal challenges such as sustainable transport, energy, greenhouse gas emissions and monitoring, public health and quality of life, economic and job growth, etc. 1,2 The ubiquitous nature of smart IT-based solutions provides new services to citizens. As a result, it has become a source of new information for city administrations for smart open governance, based on which city development plans are proposed and strategic decisions are made. Such a smart open governance approach aims to engage with citizens through innovative approaches and deliver highly transparent and trustable public services. 3 The involvement of citizen in city planning through consultation meetings, opinions, polls, and call-for-comments on online proposals is referred as citizen engagement or participation, eg, smarticipate project. 4 This enables city administrators to get to know actual needs of the local community, co-create and transform the city infrastructure and services around citizens' needs and requirements. Berntzen and Johannessen 5 highlighted importance of citizen's role in the participat...

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Blockchain and edge computing–based architecture for participatory smart city applications

Khan

Abbasi

Pervez

2019

Concurrency and Computation

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“…Finally, Mohamed et al [29] discuss how the serviceoriented middleware (SOM) approach can help to solve some of the challenges of developing and operating smart city services, using CoT and Fog Computing. They propose a SOM called SmartCityWare, for the integration and utilization of CoT and Fog Computing.…”

Section: A Integration Mas-fog Computingmentioning

confidence: 99%

“…This case was designed to allow the comparison of our proposal with previous works. Only Mohamed et al [29] have presented quantitative metrics that can be used for comparison with this work. Same as Mohamed et al [29], we are going to use 2 services, a very low latency of internet, and 1 request each second.…”

Section: Casementioning

confidence: 99%

Fog computing for the integration of agents and web services in an autonomic reflexive middleware

Sánchez

Aguilar

Expósito

2018

SOCA

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“…These devices are not only large in number but also widespread in geographical distribution. In the real world, when users use these IoT devices, there are various requirements for cloud computing, such as low latency and location awareness [7][8][9][10]. In addition, with the advent of the big data era, traditional data analysis methods and storage technology encounter bottlenecks.…”

Section: Introductionmentioning

confidence: 99%

Resource Scheduling Based on Improved Spectral Clustering Algorithm in Edge Computing

et al. 2018

Scientific Programming

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With the development of Internet of Things (IoT), the massive data generated by it forms big data, and the complexity of dealing with big data brings challenges to resource scheduling in edge computing. In order to solve the problem of resource scheduling and improve the satisfaction of users in edge computing environment, we propose a user-oriented improved spectral clustering scheduling algorithm (ISCM) in this paper. Based on the improved k-means algorithm, the ISCM algorithm solves the problem that the clustering result is sensitive to the initial value and realizes the reclustering, which makes the obtained clustering results more stable. Finally, the edge computing resource scheduling scheme is obtained based on the clustering results. The experimental results show that the resource scheduling scheme based on improved spectral clustering algorithm is superior to traditional spectral clustering algorithm in edge computing environment.

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SmartCityWare: A Service-Oriented Middleware for Cloud and Fog Enabled Smart City Services

Cited by 122 publications

References 36 publications

Blockchain and edge computing–based architecture for participatory smart city applications

Blockchain and edge computing–based architecture for participatory smart city applications

Fog computing for the integration of agents and web services in an autonomic reflexive middleware

Resource Scheduling Based on Improved Spectral Clustering Algorithm in Edge Computing

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