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An auto-scaling mechanism for virtual resources to support mobile, pervasive, real-time healthcare applications in cloud computing

机译:虚拟资源的自动扩展机制,可在云计算中支持移动的,普及的实时医疗保健应用程序

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Cloud computing with virtualization technologies has become an important trend in the information technology industry. Due to its salient features of reliability and cost effectiveness, cloud computing has changed the paradigms of development for mobile pervasive services, effectively permeating the market. While most types of best effort mobile pervasive applications can be seamlessly migrated to cloud computing infrastructures, we need to consider specialized elements to make cloud computing infrastructures more effective in real-time healthcare applications. The client side of those applications dramatically increases its transmission rate whenever it detects an abnormal event. However, the existing server side mechanisms have limitations in adaptively allocating necessary computing resources in order to handle these various data volumes over time. In this article, we propose a novel server-side auto-scaling mechanism to autonomously allocate virtual resources on an on-demand basis. The mechanism is tested in an Amazon EC2, and the results show how the proposed mechanism can efficiently scale up and down the virtual resources, depending on the volume of requested real-time tasks.
机译:采用虚拟化技术的云计算已成为信息技术行业的重要趋势。由于其可靠性和成本效益的显着特征,云计算已经改变了移动普及服务的开发范例,有效地渗透了市场。虽然大多数类型的尽力而为移动普及型应用程序可以无缝迁移到云计算基础架构,但我们需要考虑特殊的元素,以使云计算基础架构在实时医疗保健应用程序中更有效。这些应用程序的客户端在检测到异常事件时会大大提高其传输速率。然而,现有的服务器端机制在自适应地分配必要的计算资源以便随时间处理这些各种数据量方面具有局限性。在本文中,我们提出了一种新颖的服务器端自动扩展机制,可以按需自主分配虚拟资源。该机制已在Amazon EC2中进行了测试,结果显示了所提出的机制如何根据请求的实时任务的数量有效地扩展和缩减虚拟资源。

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    《IEEE Network》 |2013年第5期|62-68|共7页
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  • 入库时间 2022-08-17 13:19:19

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