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Bodhare Nitin Madhukar, Krishna T. Madrewar
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- Student, Assistant Professor, Electronics and Telecommunication Engineering Department, Deogiri Institute of Engineering and Management Studies (DIEMS) College, Electronics and Telecommunication Engineering Department, Deogiri Institute of Engineering and Management Studies (DIEMS) College, Maharashtra, Maharashtra, India, India
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Abstract
nReal-time embedded systems are critical components in various domains, such as automotive, aerospace, healthcare, and industrial automation. The design, analysis, and optimization of these systems are vital to ensure their reliable and efficient operation. In this paper, we propose an adaptive approach for real-time embedded systems that aims to address the challenges faced during the development process while maintaining high-quality results. Our approach leverages adaptive techniques to dynamically adjust the system design based on changing environmental conditions, workload variations, and resource constraints. By incorporating adaptivity into the system, we can enhance its responsiveness, reliability, and energy efficiency. Additionally, our approach considers real-time constraints, ensuring that the system meets its timing requirements. The design phase involves modeling the system using appropriate formalisms, such as UML (Unified Modeling Language) and SML (Systems Modeling Language), to capture its architecture, components, and their interactions. Furthermore, we propose the use of modeldriven engineering (MDE) techniques to generate efficient and reliable code from the models, reducing the development time and improving maintainability. To analyze the system, we employ formal verification techniques to ensure that it adheres to specified safety and correctness properties. Model checking, theorem proving, and simulation-based approaches are utilized to validate the system’s behavior and detect potential design flaws or runtime errors. Optimization plays a crucial role in enhancing system performance. We employ techniques such as task scheduling, resource allocation, and power management to optimize the system’s execution and resource utilization. Dynamic adaptation mechanisms are employed to adjust the system’s behavior in response to varying workload conditions, ensuring optimal performance in real-time environments.
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Keywords: Real-time embedded systems, adaptive approach, design, analysis, optimization, model-driven engineering, formal verification, dynamic adaptation, task scheduling, resource allocation, power management.
n[if 424 equals=”Regular Issue”][This article belongs to International Journal of Solid State Innovations & Research(ijssir)]
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References
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International Journal of Solid State Innovations & Research
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| Volume | 01 |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 01 |
| Received | May 12, 2023 |
| Accepted | December 11, 2023 |
| Published | February 15, 2024 |
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