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International Scientific Journal of Contemporary Research in

Engineering Science and Management

|ISSN Approved Journal | Impact factor: 7.521 | Follows UGC CARE Journal Norms and Guidelines|
|Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal|Impact
factor 7.521 (Calculated by Google Scholar and Semantic Scholar| AI-Powered Research Tool| Indexing)
in all Major Database & Metadata, Citation Generator

Abstract

Efficient Context Modelling Using OWL in Mobile Cloud Computing

Mr. Merugu Anand Kumar, Aremandla Sai Pujitha , Shaik Guntur Mahabub Subhani, Lankala Mounika

Abstract

Because of the proliferation of mobile devices like smartphones and the emergence of the Cloud Computing ecosystem, mobile Cloud Computing has emerged as a new IT model. Users can access a wide range of services and information technology (IT) tools in this mobile cloud setting, so it's crucial that these are managed efficiently. Hence, This article develops an ontology-based context model for mobile cloud computing, with the goal of furnishing users with contextually relevant dispersed information technology tools and services. This article proposes a context model that makes use of context-aware information in order to better handle dispersed IT resources and deliver highly precise customized services.

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