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Fractal: A Mobile Code Based Framework for Dynamic Application Protocol Adaptation in Pervasive Computing

机译:分形:基于移动代码的普及计算中的动态应用协议适应框架

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The rapid growth of heterogeneous devices and diverse networks in our daily life, makes it is very difficult, if not impossible, to build a one-size-fits-all application or protocol, which can run well in such a dynamic environment. Adaptation has been considered as a general approach to address the mismatch problem between clients and servers; however, we envision that the missing part, which is also a big challenge, is how to inject and deploy adaptation functionality into the environment. In this paper we propose a novel application level protocol adaptation framework, Fractal, which uses the mobile code technology for protocol adaptation and leverages existing content distribution networks (CDN) for protocol adaptors (mobile codes) deployment. To the best of our knowledge, Fractal is the first application level protocol adaptation framework that considers the real deployment problem using mobile code and content distribution networks. To evaluate the proposed framework, we implement an adaptive communication optimization protocol by dynamically selecting four communication protocols, including Direct sending, Gzip, Bitmap, and Vary-sized blocking. In the comparison with the static and centralized protocol adaptation approaches, evaluation shows good results on both the client side and server side. For some clients, the total communication overhead reduces 41% compared with no protocol adaptation mechanism, and 14% compared with the static protocol adaptation approach.
机译:异构设备的快速增长和日常生活中的多种网络,使其非常困​​难,如果不是不可能的,建立一个尺寸适合的所有应用程序或协议,这可以在这种动态环境中运行良好。适应已被视为解决客户和服务器之间的不匹配问题的一般方法;但是,我们设想丢失的部分,也是一个大挑战,是如何将和部署到环境中的适应功能。在本文中,我们提出了一种新颖的应用级别协议适应框架,分形,它使用移动代码技术进行协议适应,并利用现有的内容分发网络(CDN)进行协议适配器(移动代码)部署。据我们所知,分形是第一个使用移动代码和内容分发网络考虑真实部署问题的第一个应用级别协议适应框架。为了评估所提出的框架,我们通过动态选择四个通信协议来实现自适应通信优化协议,包括直接发送,GZIP,位图和变化尺寸的阻塞。在与静态和集中协议适应方法的比较中,评估在客户端和服务器端都显示出良好的结果。对于某些客户端,总通信开销与无协议适应机制相比减少了41%,与静态协议适应方法相比,14%。

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