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User-Side Service Synchronization in Multiple Devices Environment

机译:多设备环境中的用户端服务同步

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Today, a single user owning multiple devices is a reality. Moreover, with the advent of the concept of Everything-as-a-Service (XaaS), a cloud-based term that allows for a wide variety of services and applications deployed by the user, the multiple devices scenario gain more relevance, mainly due to the lack of interoperability between operating systems and services of these devices. We focus on multiple device's environments for synchronizing web services at the client-side without continuously depending on a cloud-based system. We discuss a model-based architecture that allows us to fluently migrate services/data and sessions from one device to another regardless of the operating system. The architecture, called The CUBE [12], is based on user-centric principles combined with REST and RESTful concepts. In this extension paper, we present two main contributions. First, with a description of technical and conceptual aspects of the CUBE, and its relation with the devices/applications and web services. Then, a feasibility test for a tight-coupling service such as YouTube streaming. Within a set of ten users, we presented preliminary results that had measured the wasted time to play a given video with and without the CUBE towards five different devices. The results demonstrate that when the users used the CUBE, they spend only 5.821 s to migrate the video, while without the CUBE, they spend 68.101 s to do the same procedure. That means the CUBE is up to ~12 times faster than the traditional YouTube cloud-based synchronization procedure.
机译:如今,拥有多个设备的单个用户已成为现实。此外,随着“一切即服务”(XaaS)这一基于云的术语的出现,该术语允许用户部署各种服务和应用程序,因此,多设备方案具有更大的相关性,这主要是由于导致操作系统与这些设备的服务之间缺乏互操作性。我们专注于在客户端上同步Web服务的多设备环境,而无需持续依赖基于云的系统。我们讨论了一种基于模型的体系结构,该体系结构使我们可以将服务/数据和会话从一个设备流畅地迁移到另一个设备,而与操作系统无关。名为CUBE [12]的体系结构基于结合了REST和RESTful概念的以用户为中心的原则。在这份扩展文件中,我们提出了两个主要贡献。首先,描述CUBE的技术和概念方面,以及与设备/应用程序和Web服务的关系。然后,对紧密耦合服务(例如YouTube流)进行可行性测试。在一组十个用户中,我们提供了一些初步结果,这些结果测量了在使用和不使用CUBE的情况下针对五种不同设备播放给定视频所浪费的时间。结果表明,当用户使用CUBE时,他们仅花费5.821 s来迁移视频,而没有使用CUBE时,他们花费68.101 s来执行相同的过程。这意味着CUBE比传统的基于YouTube云的同步过程快约12倍。

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