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Workload migration framework for streaming applications on smartphones

机译:用于智能手机上的流式应用程序的工作负载迁移框架

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The number and variety of applications for mobile devices continue to grow. However, the resources on mobile devices including computation and storage do not keep pace with the growth. Incorporating the computation capacity on cloud servers into mobile computing has been desired. However, there are numbers of challenging issues to realize it. In this work, we design and implement an elastic computation framework to take advantage the computation capacity on connected devices, to meet the computation demands of ever growing mobile applications. The computation framework enables resource-aware workload migration between mobile devices and connected computers. The framework was experimented and evaluated on cuckoos framework with Android applications, where communication and computation resources are taken into account. The experiments show that the application can be executed with dynamic allocated resources, either local or remote, to enhance its performance. With the elastic framework, the runtime environment can allocate local and remote resources to mobile applications with resource-aware policies.
机译:移动设备的应用程序数量和种类不断增长。但是,包括计算和存储在内的移动设备上的资源无法跟上增长的步伐。期望将云服务器上的计算能力整合到移动计算中。但是,要实现它,存在许多具有挑战性的问题。在这项工作中,我们设计并实现了一个弹性计算框架,以利用连接设备上的计算能力,以满足不断增长的移动应用程序的计算需求。该计算框架支持在移动设备和连接的计算机之间迁移资源感知的工作负载。该框架已在具有Android应用程序的Cuckoos框架上进行了实验和评估,其中考虑了通信和计算资源。实验表明,可以使用动态分配的资源(本地或远程)执行该应用程序,以增强其性能。通过弹性框架,运行时环境可以使用资源感知策略将本地和远程资源分配给移动应用程序。

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