Involving Stakeholders in the Implementation of Microservice-Based Systems: A Case Study in an Ambient-Assisted Living System

Márquez, Gastón; Taramasco, Carla; Astudillo, Hernán; Zalc, Vincent; Istrate, Dan

doi:10.1109/access.2021.3049444

Cited by 11 publications

(4 citation statements)

References 49 publications

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“…The developed product, Quida, is the result of a process of continuous improvement through various research studies [ 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 ]. In particular, [ 29 ] used very low-resolution thermal sensors to classify falls and then alert care personnel.…”

Section: Methodsmentioning

confidence: 99%

“…However, unintentional falls in older adults are a high-risk area, and their incidence imposes a significant economic burden on the health system [ 27 ]. Therefore, portable inertial sensors have grown in popularity as a means to objectively assess the risk of falls [ 28 ], generating studies aimed at its validation as non-intrusive systems for controlled environments to detect falls and other events and that do not compromise the privacy of users [ 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 ], being also relevant to obtain evidence of the impact on the quality of life of this age group.…”

Section: Use Of Assisted Environments For Older Adultsmentioning

confidence: 99%

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Improvement in Quality of Life with Use of Ambient-Assisted Living: Clinical Trial with Older Persons in the Chilean Population

Taramasco

Rimassa

Martinez

2022

Sensors

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In Chile, 18% of the population is over 60 years old and is projected to reach 31% in three decades. An aging population demands the development of strategies to improve quality of life (QoL). In this randomized trial, we present the implementation and evaluation of the Quida platform, which consists of a network of unintrusive sensors installed in the houses of elderly participants to monitor their activities and provide assistance. Sixty-nine elderly participants were included. A significant increase in overall QoL was observed amongst participants allocated to the interventional arm (p < 0.02). While some studies point out difficulties monitoring users at home, Quida demonstrates that it is possible to detect presence and movement to identify patterns of behavior in the sample studied, allowing us to visualize the behavior of older adults at different time intervals to support their medical evaluation.

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Section: Methodsmentioning

confidence: 99%

Section: Use Of Assisted Environments For Older Adultsmentioning

confidence: 99%

Improvement in Quality of Life with Use of Ambient-Assisted Living: Clinical Trial with Older Persons in the Chilean Population

Taramasco

Rimassa

Martinez

2022

Sensors

Self Cite

View full text Add to dashboard Cite

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“…The intelligent building management system uses the Intelligent Building Management Data Processing Framework (IBFRAME) through the kube proxy to collect real-time data from IoT devices, but this also requires data analysis to monitor the building environment to support various smart building applications [25]. Integrating environmentally assisted living systems through microservice architectures and the Internet of Medical Things (IoMT) sensors enables stakeholders and software architects to select and evaluate application frameworks and platforms to implement microservice-based systems [26]. Cloud computing enables organizations to share a single resource regardless of location, with IoT devices on embedded systems collaborating to bridge the gap between software and hardware.…”

Section: Related Researchmentioning

confidence: 99%

Evaluation of a Smart Intercom Microservice System Based on the Cloud of Things

et al. 2023

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This research migrates a monolithic smart intercom system to a microservice architecture, making the system more secure, stable, and scalable. The security mechanisms of the instant messaging platform are combined with microservices to improve the security of the system. The stability and performance of microservices are shown to be better than those of monolithic services through experimental tests. Residents can use different instant messaging software instead of the handset to improve the convenience of using this system. This system also implements community broadcasts, platform broadcasts, unit broadcasts, and family broadcasts to exchange messages across different instant messaging platforms. This paper proposes OpenAPI for other smart intercoms to integrate this system’s services and resources. In addition, this study deploys two microservice architectures using a native load balancer with a kube proxy and a service mesh load balancer with an istio proxy. Experiments were conducted during which residents tested the kube proxy and the istio proxy using stress testing tools on two microservice architectures, and the results showed that the kube proxy was slightly better than the istio proxy.

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“…In Figure 1, a generic algorithm to the handover decision phase is shown, which is basically a representation of the input data that is passed to the algorithm in order to make a change decision [19], [28][29][30][31][32]. That is, select the next network.…”

Section: Throughputmentioning

confidence: 99%

Proactive Cross-Layer Framework Based on Classification Techniques for Handover Decision on WLAN Environments

et al. 2022

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In recent years, modern technology has been increasing, and this has grown a derivate in big challenges related to the network and application infrastructures. New devices have been providing more high functionalities to users than ever before; however, these devices depend on a high functionality of network in order to ensure a correct functioning ability over applications. This is essential for mobile networking systems to evolve in order to meet the future requirements of capacity, coverage, and data rate. In addition, when a network problem happens, it could be converted into somethingmore disastrous and difficult to solve. A crucial point is the network physical change and the difficulties, such as loss continuity of services and the decision to select the future network to be connected. In this article, a new framework is proposed to forecast a future network to be connected through a mobile node in WLAN environments. The proposed framework considers a decision-making process based on five classifiers and the user’s position and acceleration data in order to anticipate the network change, reaching up to 96.75% accuracy in predicting the connection of this future network. In this way, an early change of network is obtained without packet and time loss during the network change.

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Involving Stakeholders in the Implementation of Microservice-Based Systems: A Case Study in an Ambient-Assisted Living System

Cited by 11 publications

References 49 publications

Improvement in Quality of Life with Use of Ambient-Assisted Living: Clinical Trial with Older Persons in the Chilean Population

Improvement in Quality of Life with Use of Ambient-Assisted Living: Clinical Trial with Older Persons in the Chilean Population

Evaluation of a Smart Intercom Microservice System Based on the Cloud of Things

Proactive Cross-Layer Framework Based on Classification Techniques for Handover Decision on WLAN Environments

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