Information management in IoT cloud-based tele-rehabilitation as a service for smart cities: Comparison of NoSQL approaches
| Autor: | Maria Fazio, Agata Romano, Antonio Celesti, Placido Bramanti, Massimo Villari, Aime Lay-Ekuakille, Fabrizio Celesti, Jiafu Wan |
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| Přispěvatelé: | Celesti, A., Lay-Ekuakille, A., Wan, J., Fazio, M., Celesti, F., Romano, A., Bramanti, P., Villari, M. |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Information management
Service (systems architecture) Computer science Big data Cloud computing Healthcare Internet of Thing Measurement NoSQL DBMS Remote monitoring Sensor and actuators Smart cities Tele-rehabilitation Context (language use) Sample (statistics) Sensor and actuator NoSQL computer.software_genre Electrical and Electronic Engineering Instrumentation business.industry Applied Mathematics Condensed Matter Physics Smart citie Data science Information and Communications Technology business computer |
| Popis: | Nowadays, recent advancements in ICT have sped up the development of new services for smart cities in different application domains. One of these is definitely healthcare. In this context, remote patient monitoring and rehabilitation activities can take place either in satellite hospital centres or directly in citizens’ homes. Specifically, using a combination of Cloud computing, Internet of Things (IoT) and big data analytics technologies, patients with motor disabilities can be remotely assisted avoiding stressful waiting times and overcoming geographical barriers. This paper focuses on the Tele-Rehabilitation as a Service (TRaaS) concept. Such a service generates healthcare big data coming from remote rehabilitation devices used by patients that need to be processed in the hospital Cloud. Specifically, after a feasibility analysis, by using a Lokomat dataset as sample, we measured and compared the performances of four of the major NoSQL DBMS(s) demonstrating that the document approach well suits our case study. |
| Databáze: | OpenAIRE |
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