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Titlebook: Network Management in Cloud and Edge Computing; Yuchao Zhang,Ke Xu Book 2020 Springer Nature Singapore Pte Ltd. 2020 Cloud Computing.Edge

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發(fā)表于 2025-3-21 20:03:24 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Network Management in Cloud and Edge Computing
編輯Yuchao Zhang,Ke Xu
視頻videohttp://file.papertrans.cn/663/662817/662817.mp4
概述Presents in-depth a solution design of application processing in cloud computing.Discusses key problem analysis of storage and computing in edge systems.Includes practical use cases of large-scale sys
圖書封面Titlebook: Network Management in Cloud and Edge Computing;  Yuchao Zhang,Ke Xu Book 2020 Springer Nature Singapore Pte Ltd. 2020 Cloud Computing.Edge
描述Traditional cloud computing and the emerging edge computing have greatly promoted the development of Internet applications. But what are the key issues in these two trends and what are the differences between them?.This book systematically introduces several key procedures in both cloud computing and edge computing scenarios, with each chapter providing a detailed description of novel design. In addition, the book also discusses a series of important findings from industry collaborations, which greatly enhance our understanding of the real system of industry. This book is not only a valuable reference resource for researchers, but also provides large-scale deployment cases for real systems in industry..In order to gain the most benefit from this book, readers should have some the basic knowledge of computer networks..
出版日期Book 2020
關(guān)鍵詞Cloud Computing; Edge Computing; Machine Learning; Network Management; Resource Optimization
版次1
doihttps://doi.org/10.1007/978-981-15-0138-8
isbn_softcover978-981-15-0140-1
isbn_ebook978-981-15-0138-8
copyrightSpringer Nature Singapore Pte Ltd. 2020
The information of publication is updating

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發(fā)表于 2025-3-22 00:05:22 | 只看該作者
Yuchao Zhang,Ke XuPresents in-depth a solution design of application processing in cloud computing.Discusses key problem analysis of storage and computing in edge systems.Includes practical use cases of large-scale sys
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https://doi.org/10.1007/978-981-15-0138-8Cloud Computing; Edge Computing; Machine Learning; Network Management; Resource Optimization
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real system of industry. This book is not only a valuable reference resource for researchers, but also provides large-scale deployment cases for real systems in industry..In order to gain the most benefit from this book, readers should have some the basic knowledge of computer networks..978-981-15-0140-1978-981-15-0138-8
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Optimization of Container Communication in DC Back-End Servers,t such conflict lies in two phases – container placement and container reassignment. The objective of this chapter is to address the container distribution problem in these two phases. For the container placement problem, we propose an efficient Communication Aware Worst Fit Decreasing (CA-WFD) algo
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The Deployment of Large-Scale Data Synchronization System for Cross-DC Networks,tion to make use of the remaining available bandwidth reserved for online traffic. By constantly estimating online traffic demand and rescheduling bulk-data transfers accordingly, BDS+ can further speed up the massive data multicast. Through a pilot deployment in one of the largest online service pr
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