راه كاري مدل رانده جهت تسهيل تعامل پذيري سيستم هاي آگاه به زمينه

The rapid expansion of context-aware systems, driven by the advancement of ubiquitous computing an‎d the Internet of Things, has intensified the need for seamless sharing of contextual information among heterogeneous systems. However, achieving interoperability in such environments remains a substantial challenge. Syntactic heterogeneity, including variations in data formats, data types, an‎d communication protocols, as well as semantic heterogeneity, such as differing interpretations of concepts, measurement units, an‎d data structures, often hinders systems from correctly interpreting an‎d exchanging contextual information. As a result, developing middleware capable of addressing these discrepancies an‎d ensuring reliable an‎d efficient context sharing has become a complex an‎d time-consuming endeavor. To overcome these challenges, this dissertation introduces HarmonyCAS, a model-driven framework designed to streamline the development of publish–subscribe middleware an‎d enhance interoperability in context-aware systems. HarmonyCAS incorporates a Domain-Specific Language (DSL) comprising three core components. The first component defines middleware elements, capturing the structure an‎d behavior of the publish–subscribe system. The second component specifies context models that precisely represent contextual information an‎d their interrelations. The third component provides mapping constructs responsible for han‎dling syntactic an‎d semantic differences across heterogeneous systems. Moreover, the framework integrates the concept of Ontology as a Service (OaaS) to enable a shared interpretation of concepts among systems, thereby strengthening semantic interoperability. Experimental eva‎luations demonstrate that HarmonyCAS delivers stable an‎d efficient performance. In experiments involving the transmission of 2,000 messages, no errors were observed, resulting in an error rate of zero. Under a load of 5,000 messages, the average response time was measured at only 49 milliseconds, indicating good scalability. Additionally, usability assessments revealed that user satisfaction scores, including ease of use, ease of learning, perceived usefulness, an‎d overall satisfaction, exceeded 80 percent. These results indicate that HarmonyCAS effectively facilitates context sharing an‎d meets essential interoperability requirements. Overall, the findings of this research suggest that HarmonyCAS can serve as both a scientific an‎d practical approach for simplifying the development of publish–subscribe middleware an‎d addressing interoperability challenges in context-aware systems, thereby paving the way for broader adoption in real-world environments.

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