Ontology-Based Service Description, Discovery, and Matching in Distributed Embedded Real-Time Systems

2013 ◽  
pp. 178-190
Author(s):  
Muhammad Waqar Aziz ◽  
Radziah Mohamad ◽  
Dayang N. A. Jawawi
Keyword(s):  
Real Time ◽  
Service Composition ◽  
Service Discovery ◽  
Real Time Systems ◽  
Service Description ◽  
Dynamic Service Composition ◽  
Matching Mechanism ◽  
Composition Process ◽  
Time Systems ◽  
Effective Service

The service composition process depends on effective service discovery, matching, and selection. Although, service discovery and matching has been thoroughly researched for software services, an effective service discovery and matching mechanism is needed for services representing device functionality. In this chapter, an ontology-based service description method and service discovery and matching mechanism is proposed for Distributed Embedded Real-Time Systems (DERTS). For service description, the existing ontology specification OWL-S is modified to make it suitable for DERTS. The proposed mechanism was applied to a scenario of Smart Home case study for testing. The proposed service description method and discovery and matching mechanism set foundations can be used for the dynamic service composition in DERTS and in any ubiquitous environment.

Service Discovery Framework for Distributed Embedded Real-Time Systems

2014 ◽  
pp. 126-147 ◽  
Author(s):  
Furkh Zeshan ◽  
Radziah Mohamad ◽  
Mohammad Nazir Ahmad
Keyword(s):  
Web Services ◽  
Real Time ◽  
Context Awareness ◽  
Service Discovery ◽  
Low Cost ◽  
High Volume ◽  
Heterogeneous Environments ◽  
Real Time Systems ◽  
Loosely Coupled ◽  
Time Systems

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.

Service Discovery Framework for Distributed Embedded Real-Time Systems

2018 ◽  
pp. 722-745
Author(s):  
Furkh Zeshan ◽  
Radziah Mohamad ◽  
Mohammad Nazir Ahmad
Keyword(s):  
Web Services ◽  
Real Time ◽  
Context Awareness ◽  
Service Discovery ◽  
Low Cost ◽  
High Volume ◽  
Heterogeneous Environments ◽  
Real Time Systems ◽  
Loosely Coupled ◽  
Time Systems

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.

Software Engineering for Real Time Systems

IEE Review ◽  
1992 ◽  
Vol 38 (3) ◽  
pp. 112
Author(s):  
Stuart Bennett
Keyword(s):  
Software Engineering ◽  
Real Time ◽  
Real Time Systems ◽  
Time Systems

Generic Round Robin Scheduling for Real Time Systems

2017 ◽  
Vol 7 (5) ◽  
pp. 148-155
Author(s):  
Pallab Banerjee ◽  
◽  
Riya Shree ◽  
Richa Kumari Verma ◽  
◽  
...  
Keyword(s):  
Real Time ◽  
Round Robin ◽  
Real Time Systems ◽  
Time Systems
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