Elastic framework for augmenting the performance of mobile applications using cloud computing

D. AbdElminaam, Hatem M. Abdul Kader, Mohie M. Hadhoud, S. El-Sayed
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引用次数: 28

Abstract

The increasing use of wireless Internet and smartphone has accelerated the need for widespread computing. Smartphones stimulate growth of Global Position Systems (GPS) and mobile cloud computing. Mobile cloud computing is the cloud infrastructure where the computation and storage are moved away from mobile devices. However, smartphone mobile computing poses challenges because of the limited battery capacity, constraints of wireless networks and the limitations of device. Therefore, it is necessary to offload the computation-intensive part by careful partitioning of application functions across a cloud. Mobile applications can be executed in the mobile device or offloaded to the cloud clone for execution, in this paper; we propose a new elastic application model that enables transparent use of cloud resources to augment the capability of resource constrained mobile devices. The significant features of this model include the partition of a single application into multiple components. Its execution location is transparent it can be run on a mobile device or migrated to the cloud. Thus, an elastic application can augment the capabilities of a mobile device including computation power, storage, and network bandwidth, with the light of dynamic execution configuration according to device's status including CPU load, memory, battery level. We demonstrate promising results of the proposed application model using data collected from one of our example elastic applications.
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用于使用云计算增强移动应用程序性能的弹性框架
无线互联网和智能手机的日益普及加速了对广泛计算的需求。智能手机刺激了全球定位系统(GPS)和移动云计算的增长。移动云计算是将计算和存储从移动设备移出的云基础设施。然而,由于有限的电池容量、无线网络的限制和设备的限制,智能手机移动计算提出了挑战。因此,有必要通过在云上仔细划分应用程序功能来卸载计算密集型部分。移动应用程序可以在移动设备上执行,也可以卸载到云克隆上执行;我们提出了一种新的弹性应用模型,使云资源的透明使用能够增强资源受限的移动设备的能力。该模型的重要特征包括将单个应用程序划分为多个组件。它的执行位置是透明的,可以在移动设备上运行,也可以迁移到云端。因此,弹性应用程序可以根据设备的状态(包括CPU负载、内存、电池电量)进行动态执行配置,从而增强移动设备的功能,包括计算能力、存储和网络带宽。我们使用从我们的一个示例弹性应用程序中收集的数据来演示所建议的应用程序模型的有希望的结果。
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