移动云计算中Web应用的JavaScript卸载

Meihua Yu, Gang Huang, Xudong Wang, Ying Zhang, Xiangqun Chen
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引用次数: 11

摘要

当前的移动Web应用程序(又名移动Web应用程序)由于涉及复杂的JavaScript而变得相当计算密集型,例如,数据分析应用程序和AI游戏等。在移动云计算的背景下,计算卸载是一个很有前途的解决方案,可以提高移动设备的性能和用户体验,并且已经为本地应用程序做了大量的研究工作。然而,很少有人关注移动Web应用。与本地应用程序相比,Web应用程序的动态特性给计算卸载带来了一些挑战。为了解决这些问题,本文提出了一种系统的方法来增强基于javascript的移动Web应用程序。我们的方法提出了一个编程抽象来提取“可卸载”的计算密集型部分,以方便Web开发人员定义何时可以进行卸载。我们实现了一个基于浏览器的卸载运行时服务,并将其作为前端代理部署在云上,在移动设备之前自动划分Web应用程序。我们通过Wi-Fi和蜂窝网络下的各种高端和低端硬件规格的典型计算密集型Web应用程序展示了我们的方法的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
JavaScript Offloading for Web Applications in Mobile-Cloud Computing
Current mobile Web applications (a.k.a, Mobile Web apps) become quite computation-intensive by involving complex JavaScript, e.g., Data analytic applications and AI games, etc. In the context of mobile-cloud computing, computation offloading is a promising solution to improve performance and user experiences for mobile devices, and a lot of research efforts have been made for native apps. However, very few attentions have been paid on mobile Web apps. Compared to native apps, the dynamic feature of Web apps poses some challenging issues for computation offloading. To address these issues, this paper presents a systematic approach for augmenting JavaScript-based mobile Web apps. Our approach proposes a programming abstraction to extract "offload able" computation-intensive portions for facilitating Web developers to define when an offloading can occur. We implement a browser-based offloading runtime service and deploy it as a front-end proxy on cloud, to automatically partition the Web apps afore the mobile devices. We demonstrate the efficiency of our approach with some typical computation-intensive Web apps across various high-end and low-end hardware specifications under Wi-Fi and cellular networks.
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