Future Mobile Learning

P. Campanella
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Abstract

Mobile computing requires new challenges and an approach for solving them by developing information systems. A number of alternative approaches to mobile computing access have emerged during the last two decades. Given the diverse nature of the mobile domain in its entirety, it is obvious that no single technique will be suitable in all circumstances. In the field of architecture solutions, the prominent approach is service oriented. Indeed mobile environments are intrinsically asynchronous, distributed and based on services where one component can supply to whichever other entity on the web can be interested into. We propose a system based on mobile devices and distributed. The web-based architecture allows to query, retrieve, correlate and display heterogeneous informative contents taken from legacy enterprise applications. The enterprise application receives rough data from physical sensors geographically spread around. Design solution will cover only the client application running on the user’s mobile device and the application business logic level, while no consideration will be made about enterprise application architectures, types of DBMS used and types and configuration of physical devices. The most appropriate architectural models in this context are: distributed, agent-based, service-oriented, component-based.
未来移动学习
移动计算需要新的挑战和通过开发信息系统来解决这些挑战的方法。在过去的二十年中,出现了许多移动计算访问的替代方法。考虑到整个移动领域的多样性,显然没有一种技术适用于所有情况。在体系结构解决方案领域,突出的方法是面向服务的。实际上,移动环境本质上是异步的、分布式的、基于服务的,其中一个组件可以向网络上任何其他感兴趣的实体提供服务。我们提出了一个基于移动设备的分布式系统。基于web的体系结构允许查询、检索、关联和显示来自遗留企业应用程序的异构信息内容。企业应用程序从地理上分布的物理传感器接收粗略数据。设计解决方案将只涵盖在用户移动设备上运行的客户端应用程序和应用程序业务逻辑层,而不考虑企业应用程序架构、使用的DBMS类型以及物理设备的类型和配置。在这种情况下,最合适的体系结构模型是:分布式的、基于代理的、面向服务的、基于组件的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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