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Procedia Computer Science
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Procedia Computer Science
Article . 2016
License: CC BY NC ND
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Performance Evaluation of Server-side JavaScript for Healthcare Hub Server in Remote Healthcare Monitoring System

Authors: Nkenyereye, Lionel; Jang, Jong-Wook;

Performance Evaluation of Server-side JavaScript for Healthcare Hub Server in Remote Healthcare Monitoring System

Abstract

AbstractWith the help of a small wearable device, patients reside in an isolated village need constant monitoring which may increase access to care and decrease healthcare delivery cost. As the number of patients’ requests increases in simultaneously manner, the healthcare hub server located in the village hall encounters limitations for performing them successfully and concurrently. In this paper, we propose the design tasks of the Remote Healthcare Monitoring application for handling concurrency tasks. In the procedure of designing tasks, concurrency is best understood by employing multiple levels of abstraction. The way that is eminently to accomplish concurrency is to build an object-oriented environment with support for messages passing between concurrent objects. Node.js, a cross-platform runtime environment features technologies for handling concurrency issue efficiently for Remote Healthcare Monitoring System. The experiments results show that server-side JavaScript with Node.js and MongoDB as database is 40% faster than Apache Sling. With Node.js developers can build a high-performance, asynchronous, event-driven healthcare hub server to handle an increasing number of concurrent connections for Remote Healthcare Monitoring System in an isolated village with no access to local medical care.

Related Organizations
Keywords

healthcare hub server, web services, asynchronous I/O, server-side JavaScript, Internet of Things, remote healthcare monitoring system, concurrent application, Node.js

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Top 10%
gold