Improving Resource Utilization of a Cloud-Based Testing Platform for Android Applications

Chien-Hung Liu, Shu-Ling Chen, Woei-Kae Chen
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引用次数: 6

Abstract

The Cloud Testing Platform (CTP) is a cloud-based system for testing Android applications (apps). It can be used to test whether an Android app can provide consistent user experiences on diverse devices developed by different manufacturers with customized specifications and operating system versions. The CTP employs virtual machines (VMs) to interact with various mobile devices currently for performing tests. However, improper size of VM pool and unbalanced loads on devices can result in low resource utilization or increase the response time of tests. To manage the resources of CTP more effectively, this paper presents a resource adaptation strategy that can adjust the number of VMs dynamically based on the workload of CTP and the number of available devices and can balance the loads across multiple devices of the same type to improve their usages and the average waiting time of tests. Experimental results indicate that the proposed strategy can be promising on improving the resource utilization of CTP.
提高Android应用云测试平台的资源利用率
云测试平台(CTP)是一个基于云的系统,用于测试Android应用程序。它可以用来测试Android应用程序是否可以在不同制造商开发的具有定制规格和操作系统版本的不同设备上提供一致的用户体验。CTP使用虚拟机(vm)与当前的各种移动设备进行交互以执行测试。但是如果虚拟机池大小不合理,设备负载不均衡,会导致资源利用率低或测试响应时间延长。为了更有效地管理CTP资源,本文提出了一种资源自适应策略,该策略可以根据CTP的工作负载和可用设备的数量动态调整虚拟机的数量,并可以在多个相同类型的设备之间平衡负载,以提高它们的使用率和测试的平均等待时间。实验结果表明,该策略在提高CTP的资源利用率方面是有希望的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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