A Multi-tier Architecture for Soft and Hard Real-Time Systems Involving Multiple Data Sources for Efficient Data Processing

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Abstract

The advancement of technology has seen the growth of IoT based devices all around the globe. With the introduction of wearable devices, smart appliances, the amount of accumulated data has increased exponentially. For soft real time systems, it is a major issue when it comes to analytics and providing the accurate results for future strategies leading to profitability aspects of an organization to the estimation of life expectancy of an individual. Soft real-time systems, where huge amount of data processing is equally important to context awareness, pervasive computing systems can use another layer for its data flow and this paper looks at an idea which benefits such systems. The proposed paper introduces an intermediate layer between User interfaces and the databases along with the traditional application layer and context or networking layer that already exists. The proposed paper also explains at how this architecture will be implemented and can be used as a generic architecture model.

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APA

De, S., & Vijayakumaran, V. (2021). A Multi-tier Architecture for Soft and Hard Real-Time Systems Involving Multiple Data Sources for Efficient Data Processing. In Lecture Notes in Electrical Engineering (Vol. 698, pp. 1–9). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-7961-5_1

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