Resource-Oriented Middleware Abstractions for Pervasive Computing

M. Caporuscio, Marco Funaro, C. Ghezzi
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引用次数: 5

Abstract

The pervasive computing vision of the future communication and computational infrastructure is that we will be everywhere virtually connected with invisible computers, embedded in the environment. In this context, the challenge is to provide a middleware support that allows applications to have minimal assumptions about the environment while being able to dynamically adapt to the surrounding context. Specifically, the middleware should (i) deal with the run-time growth of the application in terms of involved resources (flexibility), (ii) accommodate heterogeneous and unforeseen functionalities into the running application (genericity), and (iii) discover new functionality at run time and rearrange the application accordingly (dynamism). To this extent, we devised the P-REST (Pervasive REST) architectural style and built the P RIME (P-rest Runtime) middleware to support it. PRIME allows a quick and effective development and execution P-REST applications by leveraging functional programming and code mobility.
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面向资源的普适计算中间件抽象
未来通信和计算基础设施的普适计算愿景是,我们将无处不在地与嵌入环境中的隐形计算机虚拟连接。在这种上下文中,挑战在于提供一种中间件支持,允许应用程序对环境有最小的假设,同时能够动态地适应周围的上下文。具体来说,中间件应该(i)根据涉及的资源(灵活性)处理应用程序的运行时增长,(ii)在运行的应用程序中容纳异构和不可预见的功能(通用性),以及(iii)在运行时发现新功能并相应地重新安排应用程序(动态性)。在这种程度上,我们设计了P-REST(普世性REST)架构风格,并构建了P-REST运行时中间件来支持它。PRIME通过利用函数式编程和代码可移动性,允许快速有效地开发和执行P-REST应用程序。
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