IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Service Discovery Framework for Distributed Embedded Real-Time Systems

Service Discovery Framework for Distributed Embedded Real-Time Systems
View Sample PDF
Author(s): Furkh Zeshan (COMSATS Institute of Information Technology (CIIT), Pakistan), Radziah Mohamad (Universiti Teknologi Malaysia, Malaysia)and Mohammad Nazir Ahmad (Universiti Teknologi Malaysia, Malaysia)
Copyright: 2014
Pages: 22
Source title: Handbook of Research on Emerging Advancements and Technologies in Software Engineering
Source Author(s)/Editor(s): Imran Ghani (Universiti Teknologi Malaysia, Malaysia), Wan Mohd Nasir Wan Kadir (Universiti Teknologi Malaysia, Malaysia)and Mohammad Nazir Ahmad (Universiti Teknologi Malaysia, Malaysia)
DOI: 10.4018/978-1-4666-6026-7.ch007

Purchase

View Service Discovery Framework for Distributed Embedded Real-Time Systems on the publisher's website for pricing and purchasing information.

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.

Related Content

Babita Srivastava. © 2024. 21 pages.
Sakuntala Rao, Shalini Chandra, Dhrupad Mathur. © 2024. 27 pages.
Satya Sekhar Venkata Gudimetla, Naveen Tirumalaraju. © 2024. 24 pages.
Neeta Baporikar. © 2024. 23 pages.
Shankar Subramanian Subramanian, Amritha Subhayan Krishnan, Arumugam Seetharaman. © 2024. 35 pages.
Charu Banga, Farhan Ujager. © 2024. 24 pages.
Munir Ahmad. © 2024. 27 pages.
Body Bottom