Paving the way to collaborative context-aware mobile applications: a case study on preventing worsening of allergy symptoms

Caballero, Pablo Torrez; Ortiz, Guadalupe; Garcia-de-Prado, Alfonso; Boubeta-Puig, Juan

doi:10.1007/s11042-021-10759-6

Cited by 8 publications

(3 citation statements)

References 40 publications

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“…Finally, a context adviser processes the notifications and sends them to the user. The authors improved the architecture to integrate client-side context ( via a mobile app) and security functionalities ( Caballero et al, 2021 ).…”

Section: Data Analysis: Systematic Mapmentioning

confidence: 99%

Ambient intelligence governance review: from service-oriented to self-service

Ponce¹,

Abdulrazak²

2022

PeerJ Computer Science

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The current generation of connected devices and the Internet of Things augment people’s capabilities through ambient intelligence. Ambient Intelligence (AmI) support systems contain applications consuming available services in the environment to serve users. A well-known design of these applications follows a service architecture style and implement artificial intelligence mechanisms to maintain an awareness of the context: The service architecture style enables the distribution of capabilities and facilitates interoperability. Intelligence and context-awareness provide an adaptation of the environment to improve the interaction. Smart objects in distributed deployments and the increasing machine awareness of devices and people context also lead us to architectures, including self-governed policies providing self-service. We have systematically reviewed and analyzed ambient system governance considering service-oriented architecture (SOA) as a reference model. We applied a systematic mapping process obtaining 198 papers for screening (out of 712 obtained after conducting searches in research databases). We then reviewed and categorized 68 papers related to 48 research projects selected by fulfilling ambient intelligence and SOA principles and concepts. This paper presents the result of our analysis, including the existing governance designs, the distribution of adopted characteristics, and the trend to incorporate service in the context-aware process. We also discuss the identified challenges and analyze research directions.

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Section: Data Analysis: Systematic Mapmentioning

confidence: 99%

Ambient intelligence governance review: from service-oriented to self-service

Ponce¹,

Abdulrazak²

2022

PeerJ Computer Science

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“…CEP is one of the most powerful technologies in distributed real-time environments as it provides a fast and efficient way to correlate and infer conclusions about events occurring in real time (Barquero et al 2018). This technology can be applied in a multitude of areas such as logistics, monitoring critical infrastructure and financial applications (Hinze et al 2009), business processes (Soffer et al 2019), e-health (Caballero et al 2021), air quality monitoring (Boudriki Semlali et al 2021;, cybersecurity (Roldán et al 2020;Roldán-Gómez et al 2021), Internet of things (Ortiz, Castillo, et al 2022), autonomous unmanned aerial vehicles (Boubeta-Puig et al 2018), self-adaptive systems (Parra-Ullauri et al 2022;Romero-Garcés et al 2022), and intelligent transportation systems (Brazález et al 2022).…”

Section: Complex Event Processingmentioning

confidence: 99%

Model-Driven Engineering for Complex Event Processing: A Survey.

Rosa-Bilbao¹,

Boubeta-Puig²

2022

JOT

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Complex Event Processing (CEP) is a powerful technology for analyzing and correlating large amounts of data coming from different application domains to automatically detect situations of interest (event patterns) in real time. However, extensive knowledge on CEP is required to be able to implement CEP applications. To alleviate this situation, in recent years, several works have proposed the use of Model-Driven Engineering (MDE) to facilitate the development of such CEP applications for domain experts. In this paper, we propose a systematic literature review of existing approaches, frameworks, systems and languages that integrate MDE with CEP, along with the application domains and maturity levels with which these proposals have been successfully adopted. Based on our findings, future research challenges in the CEP field are also discussed.

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“…The implementation results showed that the CEP method increases reliability, reduces costs, and improves the quality of health care. Caballero et al [18] proposed a collaborative context-aware health mobile application supported by a software architecture integrated with technologies like IoT and CEP. People can collaborate with the mentioned application in a simple way and it can process and warn in real time with corresponding text alerts.…”

Section: Related Workmentioning

confidence: 99%