Adaptive Architecture to Support Context-Aware Collaborative Networked Virtual Surgical Simulators (CNVSS)

Author(s):  
Christian Diaz ◽  
Helmuth Trefftz ◽  
Lucia Quintero ◽  
Diego Acosta ◽  
Sakti Srivastava
Proceedings ◽  
2018 ◽  
Vol 2 (19) ◽  
pp. 1229
Author(s):  
Jairo Ariza ◽  
Camilo Mendoza ◽  
Kelly Garcés ◽  
Nicolás Cardozo

Adaptation is very important in IOT systems, due to their continuously changing environments. Changes may come from different elements of the architecture underlying an IOT system. Existing literature pays special attention to changes in the Service layer using evolution agents or context aware approaches to manage adaptations to said changes. In this paper, we elaborate on eight challenges that developers face when building adaptive IOT systems. Such challenges take into account changes at the Services layer, but also in the Middleware and Physical layers. These challenges serve us as a research agenda to foster IOT technology. As a starting point, we design an architecture to deal with the posited challenges. Various of the architectural components are inspired on a reference architecture, and complemented by new components to manage dynamic adaptations in response to the identified challenges. Preliminary experiments provide an initial insight about the feasibility and/or impact of our adaptive architecture.


Informatics ◽  
2021 ◽  
Vol 8 (3) ◽  
pp. 41
Author(s):  
Hamid Mcheick ◽  
John Sayegh

The emergence of pervasive computing technology has revolutionized all aspects of life and facilitated many everyday tasks. As the world fights the coronavirus pandemic, it is necessary to find new ways to use technology to fight diseases and reduce their economic burden. Distributed systems have demonstrated efficiency in the healthcare domain, not only by organizing and managing patient data but also by helping doctors and other medical experts to diagnose diseases and take measures to prevent the development of serious conditions. In the case of chronic diseases, telemonitoring systems provide a way to monitor patients’ states and biomarkers in the course of their everyday routines. We developed a Chronical Obstructive Pulmonary Disease (COPD) healthcare system to protect patients against risk factors. However, each change in the patient context initiated the execution of the system’s entire rule base, which diminished performance. In this article, we use separation of concerns to reduce the impact of contextual changes by dividing the context, rules and services into software modules (units). We combine healthcare telemonitoring with context awareness and self-adaptation to create an adaptive architecture model for COPD patients. The model’s performance is validated using COPD data, demonstrating the efficiency of the separation of concerns and adaptation techniques in context-aware systems.


2018 ◽  
Vol E101.B (9) ◽  
pp. 1997-2006 ◽  
Author(s):  
Tatsuya SATO ◽  
Yosuke HIMURA ◽  
Yoshiko YASUDA

2009 ◽  
Vol 20 (10) ◽  
pp. 2655-2666 ◽  
Author(s):  
Dong LIU ◽  
Xiang-Wu MENG ◽  
Jun-Liang CHEN ◽  
Ya-Mei XIA

2012 ◽  
Vol 23 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Li-Cai WANG ◽  
Xiang-Wu MENG ◽  
Yu-Jie ZHANG

2009 ◽  
Vol 29 (3) ◽  
pp. 892-895 ◽  
Author(s):  
Run-cai HUANG ◽  
Yi-wen ZHUANG ◽  
Ji-liang ZHOU ◽  
Qi-ying CAO

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