Self-aware Cyber-physical Systems and Applications in Smart Buildings and Cities

Gürgen, Levent; Gunalp, Ozan; Benazzouz, Yazid; Galissot, Mathieu

doi:10.7873/date.2013.240

Cited by 79 publications

(45 citation statements)

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“…It allows systems to act in response to new application requirements and/or context changes in the physical and/or virtual execution environments [6] [16]. For example, aircraft avionics systems must respond and adapt quickly to situations such as hardware/software defects and sudden changes of resource availability, in order to allow continued and safe operation [15].…”

Section: Dynamic Software Adaptationmentioning

confidence: 99%

“…The authors of [6] also claim that there are few efforts aiming to adapt and tailor existing software to the specific aspects of IoT (e.g., high dynamicity and distribution, real-time reactivity, resource constraints, and error/defect-prone environments). One should also add scalability, fault-and connectivity-tolerance, mobility support and dynamic adaptation as further important issues when designing software for Internet of Mobile Things (IoM T) systems.…”

Section: Introductionmentioning

confidence: 96%

“…Current middleware solutions for building adaptive systems do not provide the required support to handle dynamic changes in the cyber/physical context of the devices [6]. The authors of [6] also claim that there are few efforts aiming to adapt and tailor existing software to the specific aspects of IoT (e.g., high dynamicity and distribution, real-time reactivity, resource constraints, and error/defect-prone environments).…”

Section: Introductionmentioning

confidence: 97%

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A middleware for managing dynamic software adaptation

Vasconcelos

Endler

2014

Proceedings of the 13th Workshop on Adaptive and Reflective Middleware

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The design and development of adaptive systems brings new challenges since the dynamism of such systems is a multifaceted concern that range from mechanisms to enable the adaptation on the software level to the (self-) management of the entire system using adaptation plans or system administrator, for instance. Networked and mobile embedded systems are examples of systems where dynamic adaptation become even more necessary as the applications must be capable of discovering the computing resources in their near environment. While most of the current research is concerned with low-level adaptation techniques (i.e., how to dynamically deploy new components or change parameters), we are focused in providing management of distributed dynamic adaptation and facilitating the development of adaptation plans. In this paper, we present a middleware tailored for mobile embedded systems that supports distributed dynamic software adaptation, in transactional and non-transactional fashion, among mobile devices. We also present results of initial evaluation.

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Section: Dynamic Software Adaptationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 97%

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A middleware for managing dynamic software adaptation

Vasconcelos

Endler

2014

Proceedings of the 13th Workshop on Adaptive and Reflective Middleware

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“…Smartness is proportional to the increased awareness that these digital technologies bring in as they extract this information from the physical environment (Gurgen et al, 2013). Human city interaction emphasises the complex web of human computer interaction in the smart city environment.…”

Section: Structurationmentioning

confidence: 99%

Improving Healthcare through Human City Interaction

Woolliscroft

Polovina

2017

Proceedings of the 19th International Conference on Enterprise Information Systems

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Abstract:The study of information technology has given insufficient focus to a) the structural factors and b) the community perspective. As information systems become increasingly integrated with human systems these wider influences are more important than ever. Human city interaction concepts including their interplay with cyberphysical systems and social computing are appropriated to healthcare. Through Structuration Theory, insights are given into how healthcare through the human city interaction lens can most effectively be improved.

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“…Current smart cities research aims to integration of urban subsystems where the subsystems have to work together [1]. From a system engineering standpoint, a city can be considered as a physical system composed by several coupled, also physical, subsystems.…”

Section: Introductionmentioning

confidence: 99%

Consensus-Based Cooperative Control Approach Applied to Urban Traffic Networks

Artuñedo

Toro

Haber

2016

Proceedings of the 3rd International Electronic Conference on Sensors and Applications, 15–30 November 2016; Availabl

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Nowadays many studies are conducted to develop solutions for improving the performance of urban traffic networks. One of the main challenges is the necessary cooperation among different entities such as vehicles or infrastructure systems and exploit the information available through networks of sensors deployed as infrastructures for smart cities. In this work an algorithm for cooperative control of urban subsystems is applied in order to provide solutions for mobility related problems in cities. The interconnected traffic lights controllers (TLC) network adapts traffic lights cycles, based on traffic and air pollution information, in order to improve the performance of urban traffic networks. The presence of air pollution in cities is not only caused by road traffic but there are other pollution sources that contribute to increase or decrease of the pollution level. Then the problem becomes more complex. Due to the distributed and heterogeneous nature of the different components involved, a system of systems engineering approach has been followed as design method and a distributed consensus-based control algorithm has been applied. The applied control law contains a consensus-based component that uses the information shared in the network for reaching a consensus in the state of TLC network components. Furthermore, Discrete Event Systems Specification (DEVS) formalism is applied for modelling and simulation purpose. The proposed solution has been tested and validated in a simulated environment corroborating that the proposed solution is a powerful technique to deal with simultaneous responses to both pollution levels and traffic flows in urban traffic networks.

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Self-aware Cyber-physical Systems and Applications in Smart Buildings and Cities

Cited by 79 publications

References 0 publications

A middleware for managing dynamic software adaptation

A middleware for managing dynamic software adaptation

Improving Healthcare through Human City Interaction

Consensus-Based Cooperative Control Approach Applied to Urban Traffic Networks

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