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首页> 外文期刊>Procedia Computer Science >Resource Sharing in Mobile Cloud-computing with Coap
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Resource Sharing in Mobile Cloud-computing with Coap

机译:使用Coap进行移动云计算中的资源共享

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摘要

Mobile Cloud-Computing (MCC) is a term introduced by Marc Baccue in 2009 20 that popularized the idea of using cloud-hosted components as a means to overcome the resource-constraints of mobile devices. But as the smartphones and tablets overcame their resource-constraints, the meaning of the term MCC changed. Nowadays MCC is mainly associated with using mobile devices to engage cloud-hosted services and to a lesser extend with combining multiple mobile devices (e.g. cloud of devices). However, as the number of users with multiple mobile devices increases there is a growing demand for enabling apps on mobile devices to share hardware and software resources. This in turn leads to questions regarding decentralized interaction, coordination and resource sharing among multiple mobile devices. This paper focusses on the “horizontal scalability” of apps e.g. the ability to combine multiple mobile devices (executing the same mobile app) into a single compute environment that utilizes all available hardware and software resources in a decentralized manner. One possible approach to achieve this is by designing mobile apps as sets of RESTful micro-services and to allow these services to communicate via low-bandwidth IoT communication protocols. This paper presents the results of our performance evaluations using RESTful micro-services on mobile devices that communicate via the IoT protocol CoAP in different WIFI environments.
机译:移动云计算(MCC)是Marc Baccue在2009年20提出的一个术语,它普及了使用云托管组件作为克服移动设备资源受限的一种手段的想法。但是随着智能手机和平板电脑克服了资源限制,“我的客户中心”一词的含义发生了变化。如今,MCC主要与使用移动设备来参与云托管服务相关,而在较小程度上,它与组合多个移动设备(例如设备云)相关联。然而,随着具有多个移动设备的用户数量的增加,对使移动设备上的应用程序能够共享硬件和软件资源的需求不断增长。反过来,这引发了有关在多个移动设备之间进行分散式交互,协调和资源共享的问题。本文着重于应用程序的“水平可扩展性”,例如将多个移动设备(执行同一移动应用程序)组合到一个计算环境中的能力,该计算环境以分散的方式利用所有可用的硬件和软件资源。实现此目的的一种可能方法是将移动应用程序设计为RESTful微服务集,并允许这些服务通过低带宽IoT通信协议进行通信。本文介绍了在不同WIFI环境中通过IoT协议CoAP进行通信的移动设备上使用RESTful微服务进行性能评估的结果。

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