On defining and modeling context-awareness

Abstract

Purpose-This paper presents a methodology for defining and modeling context-awareness and describing efficiently the interactions between systems, applications and their context. Also the relation of modern context-aware systems with distributed computation is investigated. Design/methodology/approach-On this purpose, definitions of context and context-awareness are developed based on the theory of computation and especially on a computational model for interactive computation which extends the classical Turing Machine model. The computational model proposed here, encloses interaction and networking capabilities for computational machines. Findings-The definition of context presented here develop a mathematical framework for working with context. Also the modeling approach of distributed computing enables us to build robust, scalable and detailed models for systems and application with context-aware capabilities. Also enables us to map the procedures that support context-aware operations providing detailed descriptions about the interactions of applications with their context as well as with other external sources. Practical implications-A case study of a cloud based context-aware application is examined using the modeling methodology described in the paper so as to demonstrate the practical usage of the theoretical framework that is presented Originality/value-The originality on the framework presented here relies on the connection of context-awareness with the theory of computation and distributed computing.

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Task scheduling mechanisms in cloud computing: A systematic review

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