面向轻量级服务的普适计算体系结构
Lightweight Service Oriented Architecture for Pervasive Computing
摘要：
普适计算看起来像是一个新的计算时代，它基于在现实世界中发展的对象和设备的网络，与基于计算机和数据存储的网络的分布式计算截然不同。与大多数上下文感知方法相反，我们的工作假设是，普适软件必须能够在处理上下文数据之前处理动态软件环境。在证明SOA（面向服务的架构）和它的许多原则，以及适用于普适计算，我们提出了我们的扩展SOA模型的普适计算，称为服务轻量级组件架构（SLCA）。SLCA提出了各种额外的原则，以满足完全普遍的软件约束：基于设备服务的软件基础设施，基于轻量级组件架构的本地编排，最后将这些编排封装到组合服务中，以解决服务的分布式组合。我们提出了一个样本应用的整体方法，以及一些相关的措施SLCA性能。
英文摘要：
Pervasive computing appears like a new computing era based on networks of objects and devices evolving in a real world, radically different from distributed computing, based on networks of computers and data storages. Contrary to most context-aware approaches, we work on the assumption that pervasive software must be able to deal with a dynamic software environment before processing contextual data. After demonstrating that SOA (Service oriented Architecture) and its numerous principles are well adapted for pervasive computing, we present our extended SOA model for pervasive computing, called Service Lightweight Component Architecture (SLCA). SLCA presents various additional principles to meet completely pervasive software constraints: software infrastructure based on services for devices, local orchestrations based on lightweight component architecture and finally encapsulation of those orchestrations into composite services to address distributed composition of services. We present a sample application of the overall approach as well as some relevant measures about SLCA performances.
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