Why Did You Turn On That Light?

Nabijiang, Alimire; Mukhopadhyay, Supratik; Chokwitthaya, Chanachok; Zhu, Yimin; Rentala, Girish; Li, Qun

doi:10.1109/smds53860.2021.00022

Cited by 2 publications

(1 citation statement)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The primary design objective of the above CPS is to leverage sensors and electronic actuators attached to the electrical switchboards for automatic control of the lighting in a building according to the switching behavior of the users as well as other contextual factors such as occupancy pattern, the artificial lighting status, the lighting intensity, the indoor air temperature, and the relative humidity of the building 1 . Prior literature has already shown that human interactions with the built environment are one of the primary contributory factors to the fluctuations in the energy consumption that occur specifically in office buildings 2 . However, the existing design models of CPS infrastructure and control units do not consider how QoS is affected by human interactions, such as switching behavior, or humans entering and leaving.…”

Section: Introductionmentioning

confidence: 99%

QACDes: QoS-Aware Context-sensitive Design of Cyber-Physical Systems

Sidhanta,

Chokwitthaya,

Zhu

et al. 2024

Preprint

Self Cite

View full text Add to dashboard Cite

There is a lot of confusion and ambiguity regarding the quantification of the Quality of Service (QoS) * of a system, especially for cyber-physical systems (CPS) involved in automating or controlling the operations in built environments and critical urban infrastructures, such as office buildings, factories, transportation systems, smart cities, etc. In these cases, the QoS, as experienced by human users, depends on the context in which they (i.e., humans) interact with these systems. Traditionally, the QoS of a CPS has been defined in terms of absolute metrics. Such measures are unable to take into account the variations in performance due to contextual factors arising out of different kinds of human interactions. Further, the QoS of a CPS has typically been evaluated by comparing the performance of the actual, fully realized system with the given QoS constraints only after the actual system has been completely developed. In the case of faults in the design exposed by observed deviations from the QoS constraints due to unpredicted variations in the contextual factors, the system needs to be redesigned and redeveloped from scratch. Due to the above-mentioned reason, the validation approach associated with the traditional QoS makes the design of CPS systems prohibitively expensive, impractical, as well as infeasible in numerous application areas, such as civil and engineering works, since it may not be possible to modify the system once developed beyond a certain extent. To that end, we propose a context-aware definition of QoS of a CPS which facilitates the design of robust systems as elaborated below. In this paper, we define QoS as a function of contextual factors. A CPS designed according to our QoS specifications would always satisfy the QoS irrespective of any possible changes in contextual factors resulting from many different human interactions that may occur during operation of the system. We also present QACDes-a novel framework that provides a formal mechanism for validating the design of a CPS with respect to the specified QoS constraints at the design phase as well as after the realization of the actual system. QACDes can validate any given CPS, irrespective of its application domain, against a QoS guarantee: A) as early as even before the design phase by comparing the proposed model with a baseline model, or B) after the realization of the actual system based on logs collected from running the actual system. Using the automated lighting control system in a building † as a use case, we analyze and demonstrate the effectiveness of our QoS definition as well as the QACDes framework against the performance metric measured in an actual fully-realized CPS.

show abstract

Section: Introductionmentioning

confidence: 99%

QACDes: QoS-Aware Context-sensitive Design of Cyber-Physical Systems

Sidhanta,

Chokwitthaya,

Zhu

et al. 2024

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

QACDes: QoS-aware context-sensitive design of cyber-physical systems

Sidhanta,

Chokwitthaya,

Zhu

et al. 2024

Sci Rep

View full text Add to dashboard Cite

There is a lot of confusion and ambiguity regarding the quantification of the Quality of Service (QoS) of a system, especially for cyber-physical systems (CPS) involved in automating or controlling the operations in built environments and critical urban infrastructures, such as office buildings, factories, transportation systems, smart cities, etc. In these cases, the QoS, as experienced by human users, depends on the context in which they (i.e., humans) interact with these systems. Traditionally, the QoS of a CPS has been defined in terms of absolute metrics. Such measures are unable to take into account the variations in performance due to contextual factors arising out of different kinds of human interactions. Further, the QoS of a CPS has typically been evaluated by comparing the performance of the actual, fully realized system with the given QoS constraints only after the actual system has been completely developed. In the case of faults in the design exposed by observed deviations from the QoS constraints due to unpredicted variations in the contextual factors, the system needs to be re-designed and re-developed from scratch. Due to the above-mentioned reason, the validation approach associated with the traditional QoS makes the design of CPS systems prohibitively expensive, impractical, as well as infeasible in numerous application areas, such as civil and engineering works, since it may not be possible to modify the system once developed beyond a certain extent. To that end, we propose a context-aware definition of QoS of a CPS which facilitates the design of robust systems as elaborated below. In this paper, we define QoS as a function of contextual factors. A CPS designed according to our QoS specifications would always satisfy the QoS irrespective of any possible changes in contextual factors resulting from many different human interactions that may occur during operation of the system. We also present QACDes - a novel framework that provides a formal mechanism for validating the design of a CPS with respect to the specified QoS constraints at the design phase as well as after the realization of the actual system. QACDes can validate any given CPS, irrespective of its application domain, against a QoS guarantee: (A) as early as even before the design phase by comparing the proposed model with a baseline model, or (B) after the realization of the actual system based on logs collected from running the actual system. We consider a lighting control system that manages the light switches - switching it on/off depending on contextual factors, such as the presence of occupants and time of the day. Using the lighting control system in a building as a use case, we analyze and demonstrate the effectiveness of our QoS definition as well as the QACDes framework against the performance metric measured in an actual fully-realized CPS.

show abstract

Why Did You Turn On That Light?

Cited by 2 publications

References 44 publications

QACDes: QoS-Aware Context-sensitive Design of Cyber-Physical Systems

QACDes: QoS-Aware Context-sensitive Design of Cyber-Physical Systems

QACDes: QoS-aware context-sensitive design of cyber-physical systems

Contact Info

Product

Resources

About