&amp;#x2208;SOA - Service Oriented Architectures adapted for embedded networks

Scholz, Andreas; Gaponova, Irina; Sommer, Stephan; Kemper, Alfons; Knoll, Alois; Buckl, Christian; Heuer, Jörg; Schmitt, Anton

doi:10.1109/indin.2009.5195871

Cited by 19 publications

(17 citation statements)

References 9 publications

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“…Using this approach, data acquisition can be treated as a service provided by the sensor network. The feasibility of a service oriented approach (SOA) for sensor networks is discussed in [4], [5].…”

Section: Related Workmentioning

confidence: 99%

Reconfigurable industrial process monitoring using the CHROMOSOME middleware

et al. 2013

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Abstract-In all areas of industrial production and construction, companies have to implement processes with increasing complexity and reliability to satisfy their customer's needs with respect to product quality and continuity. Fulfilling these requirements means to employ continuous process monitoring and documentation without increasing production cost significantly even in case of subsequent reorganization of the production facility. The Multifunk research project focuses on the development and integration of features into the CHROMOSOME middleware to provide the basis for an intelligent, self-adapting process monitoring framework for production quality assurance. The key features of the framework are self-organization and selfconfiguration based on meta information in combination with industry standard protocols to guarantee an easy integration into industrial processes. The CHROMOSOME middleware is used on top of smart sensor platform MST2012 that has been developed in the course of the research project to tie established analog sensors to the digital process monitoring world. The contribution of this paper is a flexible, self-adaptive embedded middleware in combination with a smart sensor gateway for industrial process monitoring.

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Section: Related Workmentioning

confidence: 99%

Reconfigurable industrial process monitoring using the CHROMOSOME middleware

et al. 2013

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“…In order to support the automatic adaptation of applications to the characteristics of a given network, we developed the SOA platform which is described in more detail in [12]. The SOA platform uses a model driven development ap- It is based on a model of the hardware available in a given network and a model of the applications and their functional and non-functional requirements.…”

Section: Model Driven Developmentmentioning

confidence: 99%

“…The rest of this paper is structured as follows: In Section 2, we provide a short overview over the SOA project [12], our solution for building service oriented embedded network applications. We introduce metrics for quantifying the quality of service placements in Section 3 and describe algorithms that calculate a service placement based on these metrics in Section 4.…”

Section: Introductionmentioning

confidence: 99%

Towards an adaptive execution of applications in heterogeneous embedded networks

Scholz

Sommer

Kemper

et al. 2010

Proceedings of the 2010 ICSE Workshop on Software Engineering for Sensor Network Applications

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Embedded networks are emerging in many application fields, such as the automotive or building and factory automation sector. Compared to other distributed systems, embedded networks offer a new challenge for developers: heterogeneity and resource constraints. The nodes contained in these networks can differ greatly w.r.t. their storage, processing and sensing/acting capabilities, ranging from very simple sensor devices with very limited resources over programmable logic controllers to very powerful nodes such as PCs. In order to achieve an efficient execution of applications running on such a network, a middleware is required that automatically adapts the embedded network to the requirements of the installed applications. In this paper, we will present a model driven development approach that allows the specification of application requirements, and a corresponding middleware solution that supports the automatic adaptation of the application execution based on these requirements and the characteristics of the underlying hardware.

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“…The changing of binding configurations is done explicitly by the application. Other systems like eSOA [19] and OASiS [15] use SOC within WSNs but perform service matching and binding off-line.…”

Section: Related Workmentioning

confidence: 99%

Coordinating Resource Usage through Adaptive Service Provisioning in Wireless Sensor Networks

Fok

Roman

2010

Lecture Notes in Computer Science

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Abstract. Wireless sensor networks (WSNs) exhibit high levels of network dynamics and consist of devices with limited energy. This results in the need to coordinate applications not only at the functional level, as is traditionally done, but also in terms of resource utilization. In this paper, we present a middleware that does this using adaptive service provisioning. Novel service binding strategies automatically adapt application behavior when opportunities for energy savings surface, and switch providers when the network topology changes. The former is accomplished by providing limited information about the energy consumption associated with using various services, systematically exploiting opportunities for sharing service invocations, and exploiting the broadcast nature of wireless communication in WSNs. The middleware has been implemented and evaluated on two disparate WSN platforms, the TelosB and Imote2. Empirical results show that adaptive service provisioning can enable energy-aware service binding decisions that result in increased energy efficiency and significantly increase service availability, while imposing minimal additional burden on the application, service, and device developers. Two applications, medical patient monitoring and structural health monitoring, demonstrate the middleware's efficacy.

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∈SOA - Service Oriented Architectures adapted for embedded networks

Cited by 19 publications

References 9 publications

Reconfigurable industrial process monitoring using the CHROMOSOME middleware

Reconfigurable industrial process monitoring using the CHROMOSOME middleware

Towards an adaptive execution of applications in heterogeneous embedded networks

Coordinating Resource Usage through Adaptive Service Provisioning in Wireless Sensor Networks

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