Quality-Of-Service Aware Design and Management of Embedded Mixed-Criticality Systems
Ranjbar, Behnaz, Ejlali, Alireza, Kumar, Akash
相關主題
商品描述
This book addresses the challenges associated with efficient Mixed-Criticality (MC) system design. We focus on application analysis through execution time analysis and task scheduling analysis in order to execute more low-criticality tasks in the system, i.e., improving the Quality-of-Service (QoS), while guaranteeing the correct execution of high-criticality tasks. Further, this book addresses the challenge of enhancing QoS using parallelism in multi-processor hardware platforms.
商品描述(中文翻譯)
本書探討與高效混合關鍵性（Mixed-Criticality, MC）系統設計相關的挑戰。我們專注於透過執行時間分析和任務排程分析來進行應用分析，以便在系統中執行更多低關鍵性任務，即提高服務質量（Quality-of-Service, QoS），同時保證高關鍵性任務的正確執行。此外，本書還探討了在多處理器硬體平台上利用並行性來提升服務質量的挑戰。
作者簡介
Behnaz Ranjbar Received the PhD degree with Summa Cum Laude in Computer Science, from Technische Universität Dresden (TUD), Dresden, Germany, in 2022. Currently, she is a research associate at the Chair of Processor Design, TUD, Germany. Her current research interests include the design of embedded real-time systems, fault tolerance systems, and power-aware systems.
Alireza Ejlali received the PhD degree in computer engineering from Sharif University of Technology, Tehran, Iran, in 2006. He is currently an associate professor of computer engineering at SUT. From 2005 to 2006, he was a visiting researcher in the Electronic Systems Design Group, University of Southampton, Southampton, United Kingdom. He is currently the Director of the Embedded Sys- tems Research Laboratory, Department of Computer Engineering, Sharif University of Technology. His research interests include low power design, real-time, and fault-tolerant embedded systems.
Akash Kumar is a chaired Professor of Processor Design (with tenure) in the department of Computer Science at Technische Universität Dresden (TUD), Germany. From 2009 to 2015, he was with the Department of Electrical and Computer Engineering, NUS. He received the joint Ph.D. degree in electrical engineering in embedded systems from Eindhoven University of Technology (TU/e) and National University of Singapore (NUS), in 2009; joint Master's degree from TU/e and NUS in 2005 in embedded systems and Bachelor of Computer Engineering degree from NUS in 2002.
His research interests span various aspects of design automation in the context of embedded real-time systems with particular emphasis on reliable, resource-efficient and predictable architectures for embedded systems, including FPGA-based architectures. His research spans across various layers in the system design from hardware design to application analysis. He has published close to 250 articles in premier international conferences and journals in the areaof design automation. Together with his research group, he has released many open-source tool flows for system design and analysis to allow the community to reproduce their results and to further research in the related areas.
He has received Best Paper Award at DATA 2018, and best paper award nominations at DATE 2015, 2017 and 2020, FPL 2014, GLSVLSI 2014, ISVLSI 2020 and Supercomputing Conference 2015.
作者簡介(中文翻譯)
Behnaz Ranjbar於2022年在德國德累斯頓工業大學（Technische Universität Dresden, TUD）獲得計算機科學博士學位，並以優異的成績（Summa Cum Laude）畢業。目前，她是德國TUD處理器設計系的研究助理。她目前的研究興趣包括嵌入式即時系統的設計、容錯系統以及節能系統。
Alireza Ejlali於2006年在伊朗德黑蘭的沙里夫科技大學（Sharif University of Technology）獲得計算機工程博士學位。他目前是沙里夫科技大學計算機工程系的副教授。從2005年到2006年，他曾在英國南安普敦大學的電子系統設計組擔任訪問研究員。他目前是沙里夫科技大學計算機工程系嵌入式系統研究實驗室的主任。他的研究興趣包括低功耗設計、即時系統和容錯嵌入式系統。
Akash Kumar是德國德累斯頓工業大學（Technische Universität Dresden, TUD）計算機科學系的終身教授，專注於處理器設計。從2009年到2015年，他曾在新加坡國立大學（National University of Singapore, NUS）的電機與計算機工程系工作。他於2009年獲得荷蘭埃因霍溫科技大學（Eindhoven University of Technology, TU/e）和新加坡國立大學的聯合博士學位，專攻嵌入式系統；並於2005年獲得TU/e和NUS的聯合碩士學位，專攻嵌入式系統，以及於2002年獲得NUS的計算機工程學士學位。
他的研究興趣涵蓋嵌入式即時系統設計自動化的各個方面，特別強調可靠性、資源效率和可預測的嵌入式系統架構，包括基於FPGA的架構。他的研究跨越系統設計的各個層面，從硬體設計到應用分析。他在設計自動化領域的主要國際會議和期刊上發表了近250篇文章。與他的研究團隊一起，他發布了許多開源工具流程，用於系統設計和分析，以便社群能夠重現他們的結果並進一步研究相關領域。
他曾在2018年獲得DATA最佳論文獎，並在2015年、2017年和2020年、2014年FPL、2014年GLSVLSI、2020年ISVLSI和2015年超級計算會議中獲得最佳論文獎提名。
