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Flexible and Adaptive Real-time Task Scheduling in Cyber-Physical Control Systems

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Release : 2018
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Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Flexible and Adaptive Real-time Task Scheduling in Cyber-Physical Control Systems by : Xiaotian Dai

Download or read book Flexible and Adaptive Real-time Task Scheduling in Cyber-Physical Control Systems written by Xiaotian Dai. This book was released on 2018. Available in PDF, EPUB and Kindle. Book excerpt:

Control and Scheduling Codesign

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Release : 2008-10-11
Genre : Technology & Engineering
Kind : eBook
Book Rating : 559/5 ( reviews)

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Book Synopsis Control and Scheduling Codesign by : Feng Xia

Download or read book Control and Scheduling Codesign written by Feng Xia. This book was released on 2008-10-11. Available in PDF, EPUB and Kindle. Book excerpt: With emphasis on flexible resource management in networked and embedded real-time control systems operating in dynamic environments with uncertainty, this book is devoted to the integration of control with computing and communication. It covers the authors' recent and original research results within a unified framework of feedback scheduling. This useful reference also includes rich example problems, case studies, and extensive references to the literature.

Hard Real-Time Computing Systems

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Kind : eBook
Book Rating : 103/5 ( reviews)

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Book Synopsis Hard Real-Time Computing Systems by : Giorgio Buttazzo

Download or read book Hard Real-Time Computing Systems written by Giorgio Buttazzo. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:

Cloud-Based Cyber-Physical Systems in Manufacturing

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Release : 2017-11-16
Genre : Technology & Engineering
Kind : eBook
Book Rating : 938/5 ( reviews)

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Book Synopsis Cloud-Based Cyber-Physical Systems in Manufacturing by : Lihui Wang

Download or read book Cloud-Based Cyber-Physical Systems in Manufacturing written by Lihui Wang. This book was released on 2017-11-16. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state-of-the-art research, challenges and solutions in the area of cloud-based cyber-physical systems (CPS) used in manufacturing. It provides a comprehensive review of the literature and an in-depth treatment of novel methodologies, algorithms and systems in the area of architecture design, cyber security, process planning, monitoring and control. The book features detailed descriptions of how to derive solutions in a cloud environment where physical machines can be supported by cyber decision systems when engaged in real operations. It presents a range of novel ideas and is characterized by a balanced approach in terms of scope vs. depth and theory vs. applications. It also takes into account the need to present intellectual challenges while appealing to a broad readership, including academic researchers, practicing engineers and managers, and graduate students. Dedicated to the topic of cloud-based CPS and its practical applications in manufacturing, this book benefits readers from all manufacturing sectors, from system design to lifecycle engineering and from process planning to machine control. It also helps readers to understand the present challenges and future research directions towards factories of the future, helping them to position themselves strategically for career development.

Configuration-aware and QoS-aware Task Scheduling in Real-time Adaptive Embedded Systems

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Author :
Release : 2012
Genre :
Kind : eBook
Book Rating : 286/5 ( reviews)

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Book Synopsis Configuration-aware and QoS-aware Task Scheduling in Real-time Adaptive Embedded Systems by : Hessam Kooti

Download or read book Configuration-aware and QoS-aware Task Scheduling in Real-time Adaptive Embedded Systems written by Hessam Kooti. This book was released on 2012. Available in PDF, EPUB and Kindle. Book excerpt: In order to cope with increase in demand for embedded applications under resource and power constraints, there is an increasing trend on incorporating system-level flexibility and runtime adaptation in embedded systems. Although a complete processor-based implementation provides ultimate flexibility, usually computationally intensive processing mandates hardware support in addition to the processors. However, the main drawback of reconfigurable hardware platform is delay and energy overhead during system reconfiguration. Ignoring the time and energy required for reconfiguration may lead to performance degradation and deadline misses. In this thesis we provide different real-time scheduling techniques. First, we propose the first real-time scheduler that is aware of the transition time overhead due to configuration of underlying hardware. We consider a heterogeneous multi-processor system and there are data dependencies among tasks and communication overhead time during task execution. In many applications deadline miss rate is not an accurate metric to model the application quality but the distribution of deadline misses is the main factor. We use a well-known Weakly Hard System QoS model to define the acceptable deadline miss distribution. We provide an online scheduler that considers the time overheads among task switching while the deadline misses caused by time overheads follow a predefined pattern. Next, we focus on energy consumption of the system and provide a scheduler that considers the time and energy overhead during power management. In our work deadline miss rate is minimized as the primary objective and the energy consumption of the system is minimized by means of voltage scaling as the secondary objective. Many adaptive systems need to adapt to varying delay and/or energy constraints such as fluctuation of energy source when system is powered by renewable energies like solar energy. In order to ensure the scheduler can handle the dynamicity in availability of the energy source, we exploit the QoS constraint so the application quality is not violated during job dropout when our power management scheme adjusts the energy consumption according to energy availability. Each of these schedulers is accompanied by an extensive experimental evaluation that represents the effect of using the proposed algorithms.

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