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Mixed-criticality industrial wireless networks
Introduces criticality to label important data,which is then allocated more transmission resources, ensuring that important data’sQoS requirements can be met to the extent possible.To help readers understand how to apply mixed criticality to industrial wirelessnetworks, the content is divided into four parts. First, we introduce how to integratethe model of mixed-criticality data into industrial wireless networks (Chap. 1).Second, we explain how to analyze the schedulability of mixed-criticality data underexisting scheduling algorithms (Chaps. 2 and 3). Third, we present a range of novelscheduling algorithms for mixed-criticality data (Chaps. 4, 5, and 6). Finally, weconclude this book and discuss future research directions (Chap. 7).
High-performance Packet Switching Architectures
Internet traffic is increasing at a rate of at least 200% per year. The world’s largest Internet Service Provider has recently stated that it expects traffic capacity on its regional trunks to grow to a 1-10 petabit range over the next four to five years. Wavelength division multiplexing (WDM), long-haul fiber-optic links and high-capacity all-optical circuit switches are now being employed at the Internet core to process such massive traffic, consequently creating a demand for novel high-performance packet switching technologies (IP routers, ATM switches, and Ethernet Switches) which feed the optical core.
Green, pervasive, and cloud computing ; 15th International conference, GPC 2020, Xi'an, China, November 13–15, 2020, Proceedings
This book constitutes the refereed proceedings of the 15th International Conference on Green, Pervasive, and Cloud Computing, GPC 2020, held in Xi'an, China, in November 2020. The 30 full papers presented in this book together with 8 short papers were carefully reviewed and selected from 96 submissions. They cover the following topics: Device-free Sensing; Machine Learning; Recommendation Systems; Urban Computing; Human Computer Interaction; Internet of Things and Edge Computing; Positioning; Applications of Computer Vision; CrowdSensing; and Cloud and Related Technologies.
