Automatic Migration and Deployment of Cloud Services for Healthcare Application Development in FIWARE

Sotiriadis, Stelios; Vakanas, Lenos; Petrakis, Euripides G. M.; Zampognaro, Paolo; Bessis, Nik

doi:10.1109/waina.2016.166

Cited by 13 publications

(10 citation statements)

References 6 publications

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“…This system is hosted on FIWARE cloud using the available virtual machines. The development of healthcare applications using FIWARE components is described in [75] and in [19].…”

Section: Fiware Fiware 10mentioning

confidence: 99%

Medical Data Processing and Analysis for Remote Health and Activities Monitoring

Vitabile

Marks

Stojanović

et al. 2019

Lecture Notes in Computer Science

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Recent developments in sensor technology, wearable computing, Internet of Things (IoT), and wireless communication have given rise to research in ubiquitous healthcare and remote monitoring of human's health and activities. Health monitoring systems involve processing and analysis of data retrieved from smartphones, smart watches, smart bracelets, as well as various sensors and wearable devices. Such systems enable continuous monitoring of patients psychological and health conditions by sensing and transmitting measurements such as heart rate, electrocardiogram, body temperature, respiratory rate, chest sounds, or blood pressure. Pervasive healthcare, as a relevant application domain in this context, aims at revolutionizing the delivery of medical services through a medical assistive environment and facilitates the independent living of patients. In this chapter, we discuss (1) data collection, fusion, ownership and privacy issues; (2) models, technologies and solutions for

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“…This system is hosted on FIWARE cloud using the available virtual machines. The development of healthcare applications using FIWARE components is described in [75] and in [19].…”

Section: Fiware Fiware 10mentioning

confidence: 99%

Medical Data Processing and Analysis for Remote Health and Activities Monitoring

Vitabile

Marks

Stojanović

et al. 2019

Lecture Notes in Computer Science

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“…For instance, FIWARE has been applied to the design of a real e-health Remote Patient Monitoring with an agile software development methodology [27] and the agriculture domain [28]. In [29] the focus is on the automatic service migration and deployment between providers' cloud infrastructures within the FI-STAR FP7 project, in which several cloud services have been developed for the healthcare domain using the FIWARE platform. Our proposed architecture, including middleware and service platform, could be another specific implementation for one of these Generic Enablers (e.g., the Orion Context Broker), but based on replicated (decentralized) services, that is, following the vision present in Mobile Cloud Computing [30] and Fog Computing [31].…”

Section: Related Workmentioning

confidence: 99%

A Collaborative Semantic Annotation System in Health: Towards a SOA Design for Knowledge Sharing in Ambient Intelligence

Guerrero-Contreras

Navarro-Galindo

Samos

et al. 2017

Mobile Information Systems

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People nowadays spend more and more time performing collaborative tasks at anywhere and anytime. Specifically, professionals want to collaborate with each other by using advanced technologies for sharing knowledge in order to improve/automatize business processes. Semantic web technologies offer multiple benefits such as data integration across sources and automation enablers. The conversion of the widespread Content Management Systems into its semantic equivalent is a relevant step, as this enables the benefits of the semantic web to be extended. The FLERSA annotation tool makes it possible. In particular, it converts the Joomla! CMS into its semantic equivalent. However, this tool is highly coupled with that specific Joomla! platform. Furthermore, ambient intelligent (AmI) environments can be seen as a natural way to address complex interactions between users and their environment, which could be transparently supported through distributed information systems. However, to build distributed information systems for AmI environments it is necessary to make important design decisions and apply techniques at system/software architecture level. In this paper, a SOA-based design solution consisting of two services and an underlying middleware is combined with the FLERSA tool. It allows end-users to collaborate independently of technical details and specific context conditions and in a distributed, decentralized way.

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“…Therefore, in recent years, several applications have been developed adopting the FIWARE technology in different application domains including information management [13,14], Cloud resource management [15], smart mobility [16][17][18][19], smart parking [20], smart agriculture [21,22], energy [23], security [24][25][26][27], human-computer interaction [28], earthquake prevention [29], and healthcare [30].…”

Section: Introductionmentioning

confidence: 99%

“…For the best of our knowledge, apart from the solution discussed in [30], there are not other scientific works focusing on the adoption of the FIWARE technology for healthcare applications. The best practice described in this paper aims at contributing to improve the state of the art in this context.…”

mentioning

confidence: 99%

How to Develop IoT Cloud e-Health Systems Based on FIWARE: A Lesson Learnt

Celesti

Fazio

Márquez

et al. 2019

JSAN

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Nowadays, the penetration of sensors and actuators in different application fields is revolutionizing all aspects of our daily life. One of the major sectors that is taking advantage of such cutting-edge cheap smart devices is healthcare. In this context, Remote Patient Monitoring (RPM) at home represents a tempting opportunity for hospitals to reduce clinical costs and to improve the quality of life of both patients and their families. It allows patients to be monitored remotely by means networks of Internet of Things (IoT) medical devices equipped with sensors and actuators that collect healthcare data from patients and send them to a Cloud-based Hospital Information System (HIS) for processing. Up to now, many different proprietary software systems have been developed as stand-along expensive solutions, presenting interoperability, extensibility, and scalability issues. In recent years, the European Commission (EC) has promoted the wide adoption of FIWARE technology, launching 16 Industrial Accelerators focusing on different application fields. One of these, i.e., FICHe, is specialized in healthcare, providing the guidelines on how to develop eHealth systems. This paper focuses on how to compose new cutting-edge IoT and Cloud-based Cyber Physical Health Sytem (CPHS) services and applications interconnected with remote medical sensors and actuators using FIWARE technology in the context envisioned by FICHe. In particular, we discuss the design and development of an RPM system implemented through the collaboration between the Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) “Bonino Pulejo” (i.e., a clinical and research healthcare centre specialized in the treatment of neuro lesions), University of Messina, IBM Research, Telefónica, and the University of the Western Cape in South Africa. The description of our best practice provides a model and guidelines for the development of lightweight and low cost RPM services for rural and isolated areas, with the expectation of expanding healthcare to the developing world and in general allows us to outline how to deal with the real adoption of the FIWARE technology in an e-health project.

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Automatic Migration and Deployment of Cloud Services for Healthcare Application Development in FIWARE

Cited by 13 publications

References 6 publications

Medical Data Processing and Analysis for Remote Health and Activities Monitoring

Medical Data Processing and Analysis for Remote Health and Activities Monitoring

A Collaborative Semantic Annotation System in Health: Towards a SOA Design for Knowledge Sharing in Ambient Intelligence

How to Develop IoT Cloud e-Health Systems Based on FIWARE: A Lesson Learnt

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