The powerful processors and variety of sensors in new and planned mobile Internet devices, such as Apple's iPhone and Android-based smartphones, can be leveraged to build cyber-physical applications that collect sensor data from the real world and communicate it back to Internet services for processing and aggregation. This article presents key R&D challenges facing developers of mobile cyber-physical applications that integrate with Internet services and summarizes emerging solutions to address these challenges. For example, application software should be architected to conserve power, which motivates R&D on tools that can predict the power consumption characteristics of mobile software architectures. Other R&D challenges involve the relative paucity of work on software and sensor data collection architectures that cater to the powerful capabilities and cyber-physical aspects of mobile Internet de-J. White ( ) ·
Manufacturing environments are characterized by a multitude of heterogeneous devices, networks, specific protocols and applications. Therefore, static structures, close coupling and vendor-specific solutions have been established over decades. To increase flexibility and interoperability we introduce a service-oriented middleware approach in form of an integration layer between shopfloor equipment and enterprise applications. The integration layer addresses the actual capabilities and data flows on the field and control layer individually. It offers core services that are applicable in several manufacturing domains. We describe a detailed case study to discuss pros and cons of a SOA approach in manufacturing systems and to show the feasibility of our approach.
This paper presents the results of a study designed to as sess the performance of Web services on embedded devices.
For our investigation, we deployed Web services on SunSPOTs, representing medium-sized wireless sensor platforms, and analysed disk space, message size, response time and energy consumption. Our study quantifies the overhead of Web services and provides empirical data on whether this Web technology is a suitable approach for embedded devices.
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