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Service Discovery Framework for Distributed Embedded Real-Time Systems

Service Discovery Framework for Distributed Embedded Real-Time Systems

Furkh Zeshan, Radziah Mohamad, Mohammad Nazir Ahmad
Copyright: © 2014 |Pages: 22
ISBN13: 9781466660267|ISBN10: 1466660260|EISBN13: 9781466660274
DOI: 10.4018/978-1-4666-6026-7.ch007
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MLA

Zeshan, Furkh, et al. "Service Discovery Framework for Distributed Embedded Real-Time Systems." Handbook of Research on Emerging Advancements and Technologies in Software Engineering, edited by Imran Ghani, et al., IGI Global, 2014, pp. 126-147. https://doi.org/10.4018/978-1-4666-6026-7.ch007

APA

Zeshan, F., Mohamad, R., & Ahmad, M. N. (2014). Service Discovery Framework for Distributed Embedded Real-Time Systems. In I. Ghani, W. Kadir, & M. Ahmad (Eds.), Handbook of Research on Emerging Advancements and Technologies in Software Engineering (pp. 126-147). IGI Global. https://doi.org/10.4018/978-1-4666-6026-7.ch007

Chicago

Zeshan, Furkh, Radziah Mohamad, and Mohammad Nazir Ahmad. "Service Discovery Framework for Distributed Embedded Real-Time Systems." In Handbook of Research on Emerging Advancements and Technologies in Software Engineering, edited by Imran Ghani, Wan Mohd Nasir Wan Kadir, and Mohammad Nazir Ahmad, 126-147. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-6026-7.ch007

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Abstract

Embedded systems are supporting the trend of moving away from centralised, high-cost products towards low-cost and high-volume products; yet, the non-functional constraints and the device heterogeneity can lead to system complexity. In this regard, Service-Oriented Architecture (SOA) is the best methodology for developing a loosely coupled, dynamic, flexible, distributed, and cost-effective application. SOA relies heavily on services, and the Semantic Web, as the advanced form of the Web, handles the application complexity and heterogeneity with the help of ontology. With an ever-increasing number of similar Web services in UDDI, a functional description of Web services is not sufficient for the discovery process. It is also difficult to rank the similar services based on their functionality. Therefore, the Quality of Service (QoS) description of Web services plays an important role in ranking services within many similar functional services. Context-awareness has been widely studied in embedded and real-time systems and can also play an important role in service ranking as an additional set of criteria. In addition, it can enhance human-computer interaction with the help of ontologies in distributed and heterogeneous environments. In order to address the issues involved in ranking similar services based on the QoS and context-awareness, the authors propose a service discovery framework for distributed embedded real-time systems in this chapter. The proposed framework considers user priorities, QoS, and the context-awareness to enable the user to select the best service among many functional similar services.

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