Mixed-Criticality Industrial Wireless Networks

​This is an open access book.
Important tasks must be completed on time and with guaranteed quality; that is the consensus reached by system designers and users. However, for too long, important tasks have often been given unnecessary urgency, and people intuitively believe that important tasks should be executed first so that their performance can be guaranteed. Actually, in most cases, their performance can be guaranteed even if they are executed later, and the "early" resources can be utilized for other, more urgent tasks. Therefore, confusing importance with urgency hinders the proper use of system resources. In 2007, mixed criticality was proposed to indicate that a system may contain tasks of various importance levels. Since then, system designers and users have distinguished between importance and urgency.
In the industrial field, due to the harsh environment they operate in, industrial wireless networks' quality of service (QoS) has always been a bottleneck restricting their applications. Therefore, this book introduces criticality to label important data, which is then allocated more transmission resources, ensuring that important data's QoS requirements can be met to the extent possible.
To help readers understand how to apply mixed-criticality data to industrial wireless networks, the content is divided into three parts. First, we introduce how to integrate the model of mixed-criticality data into industrial wireless networks. Second, we explain how to analyze the schedulability of mixed-criticality data under existing scheduling algorithms. Third, we present a range of novel scheduling algorithms for mixed-criticality data.
If you want to improve the QoS of industrial wireless networks, this book is for you.

這是一本開放存取的書籍。重要的任務必須按時完成並保證質量，這是系統設計師和用戶達成的共識。然而，長期以來，重要的任務常常被賦予不必要的緊迫性，人們直覺地認為重要的任務應該優先執行，以確保其性能。實際上，在大多數情況下，即使稍後執行，它們的性能也可以得到保證，而“早期”的資源可以用於其他更緊急的任務。因此，將重要性與緊迫性混淆，阻礙了系統資源的正確使用。2007年，提出了混合關鍵性的概念，表示系統可能包含不同重要性級別的任務。從那時起，系統設計師和用戶就區分了重要性和緊迫性。

在工業領域中，由於其操作環境惡劣，工業無線網絡的服務質量（QoS）一直是限制其應用的瓶頸。因此，本書引入關鍵性來標記重要數據，並為其分配更多的傳輸資源，以盡可能滿足重要數據的QoS要求。

為了幫助讀者了解如何將混合關鍵性數據應用於工業無線網絡，內容分為三個部分。首先，我們介紹如何將混合關鍵性數據模型整合到工業無線網絡中。其次，我們解釋如何在現有的調度算法下分析混合關鍵性數據的可調度性。第三，我們提出了一系列新穎的混合關鍵性數據調度算法。

如果您想提高工業無線網絡的QoS，這本書適合您。

Xi Jin received her Ph.D. degree in computer science from Northeastern University, Shenyang, China, in 2013 and is currently a Professor at the Shenyang Institute of Automation, Chinese Academy of Sciences, China. Her research interests include industrial networks, mixed-criticality scheduling, real-time scheduling, Internet of Things, and cyber-physical systems. She is a senior member of the China Computer Federation (CCF) and a member of the CCF technical committee on embedded systems.

Changqing Xia received his Ph.D. degree from Northeastern University, Shenyang, China, in 2015 and is currently an Associate Professor at the Shenyang Institute of Automation, Chinese Academy of Sciences, China. His research interests include industrial networks, mixed-criticality systems and industrial edge computing, especially scheduling algorithms and edge-cloud collaboration optimization. He is a senior member of the China Computer Federation and a member of the CCF technical committee on embedded systems.

Chi Xu received his Ph.D. degree from the University of the Chinese Academy of Sciences, Beijing, China, in 2017 and is currently an Associate Professor at the Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China. His research interests include industrial wireless networks, 5G URLLC, and tactile Internet. Dr. Xu is a 3GPP standardization delegate, a Voting Member of the IEEE 1918.1 Working Group for Tactile Internet and a member of the IEEE 1932.1 Working Group for Licensed/Unlicensed Spectrum Interoperability in Wireless Mobile Networks.

Dong Li received his Ph.D. degree from the University of the Chinese Academy of Sciences, Beijing, China, in 2016 and is currently a Professor at the Shenyang Institute of Automation, Chinese Academy of Sciences, China. His research interests include industrial internet, software defined networking, real-time scheduling and industrial 5G. He is a co-chairman of ST8WG1 of China Communications Standards Association.

習近習近平於2013年從中國沈陽東北大學獲得計算機科學博士學位，目前是中國科學院沈陽自動化研究所的教授。她的研究興趣包括工業網絡、混合關鍵性排程、實時排程、物聯網和物理系統。她是中國計算機學會的高級會員，也是計算機學會嵌入式系統技術委員會的成員。

夏長青於2015年從中國沈陽東北大學獲得博士學位，目前是中國科學院沈陽自動化研究所的副教授。他的研究興趣包括工業網絡、混合關鍵性系統和工業邊緣計算，尤其是排程算法和邊緣雲協作優化。他是中國計算機學會的高級會員，也是計算機學會嵌入式系統技術委員會的成員。

徐馳於2017年從中國北京中國科學院大學獲得博士學位，目前是中國科學院沈陽自動化研究所的副教授。他的研究興趣包括工業無線網絡、5G URLLC和觸覺互聯網。徐博士是3GPP標準化代表，是IEEE 1918.1觸覺互聯網工作組的投票成員，也是IEEE 1932.1無線移動網絡許可/非許可頻譜互操作性工作組的成員。

李東於2016年從中國北京中國科學院大學獲得博士學位，目前是中國科學院沈陽自動化研究所的教授。他的研究興趣包括工業互聯網、軟件定義網絡、實時排程和工業5G。他是中國通信標準協會ST8WG1的聯合主席。