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

机译:远程医疗监控系统中用于医疗中心服务器的服务器端JavaScript的性能评估

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With 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.
机译:借助小型可穿戴设备,居住在偏远村庄的患者需要不断监控,这可能会增加就医机会并降低医疗保健成本。随着患者请求数量的同时增加,位于乡村礼堂的医疗中心服务器会遇到限制,无法成功且同时执行。在本文中,我们提出了用于处理并发任务的远程医疗保健监视应用程序的设计任务。在设计任务的过程中,通过采用多个抽象级别可以最好地理解并发性。实现并发的主要方法是构建一个支持并发对象之间传递消息的面向对象的环境。 Node.js是一个跨平台的运行时环境,其特征在于可有效处理远程医疗监控系统的并发问题的技术。实验结果表明,使用Node.js和MongoDB作为数据库的服务器端JavaScript比Apache Sling快40%。借助Node.js,开发人员可以构建高性能,异步,事件驱动的医疗保健中心服务器,以处理无法访问本地医疗服务的偏僻村庄中越来越多的远程医疗监控系统并发连接。

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