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首页> 外文期刊>Journal of Software Maintenance and Evolution >BEFTIGRE: Behaviour‐driven full‐tier green evaluation ofrnmobile cloud applications
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BEFTIGRE: Behaviour‐driven full‐tier green evaluation ofrnmobile cloud applications

机译：BEFTIGRE：对移动云应用程序进行行为驱动的全层绿色评估

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摘要

With the resource‐constrained nature of mobile devices and the resource‐abundant offerings ofrnthe cloud, several promising optimisation techniques have been proposed by the green computingrnresearch community. Prominent techniques and unique methods have been developed tornoffload resource intensive tasks from mobile devices to the cloud. Although these schemesrnaddress similar questions within the same domain of mobile cloud application (MCA) optimisation,rnevaluation is tailored to the scheme and also solely mobile focused, thus making it difficult tornclearly compare with other existing counterparts. In this work, we first analyse the existing/commonlyrnadopted evaluation technique, then with the aim to fill the above gap, we propose thernbehaviour‐driven full‐tier green evaluation approach, which adopts the behaviour‐driven conceptrnfor evaluating MCA performance and energy usage—ie, green metrics. To automate the evaluationrnprocess, we also present and evaluate the effectiveness of a resultant application programrninterface and tool driven by the behaviour‐driven full‐tier green evaluation approach. The applicationrnprogram interface is based on Android and has been validated with Elastic Compute Cloudrninstance. Experiments show that Beftigre is capable of providing a more distinctive, comparable,rnand reliable green test results for MCAs.
机译：鉴于移动设备的资源受限性质和云的资源丰富产品，绿色计算研究社区已提出了几种有前途的优化技术。已经开发出了杰出的技术和独特的方法来将资源密集型任务从移动设备卸载到云。尽管这些方案在移动云应用（MCA）优化的同一领域内解决了类似的问题，但重新评估是针对该方案进行的，并且仅针对移动设备，因此很难与其他现有同类产品进行清晰对比。在这项工作中，我们首先分析现有/普遍采用的评估技术，然后为了填补上述空白，我们提出了行为驱动的全层绿色评估方法，该方法采用了行为驱动的概念来评估MCA的性能和能耗-即绿色指标。为了使评估过程自动化，我们还介绍并评估了由行为驱动的全层绿色评估方法驱动的最终应用程序界面和工具的有效性。 applicationrnprogram接口基于Android，并已通过Elastic Compute Cloudrninstance验证。实验表明，Beftigre能够为MCA提供更独特，可比，更可靠的绿色测试结果。

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