Network Management in Cloud and Edge Computing

ISBN-13: 9789811501401 / Angielski / Miękka / 2021 / 138 str.

Yuchao Zhang; Ke Xu

Spis treści

Section I. Introduction

1.1 Research background

1.2 Content summary

1.3 Key contributions

1.4 Chapter Arrangement

Section II. A Survey of the Resource Management Throughout Application Processing

2.1 Chapter introduction

2.2 Analysis on request access process

2.3 Transmission Control Protocol

2.4 Communications between processes

2.5 Data Synchronization

2.6 Chapter summary

Section III. A Task Scheduling Scheme in the DC Access Network

3.1 Chapter introduction

3.2 Performance measurement and analysis of network workflow

3.3 Multi-resource allocation model based on delay guarantee

3.4 Experiment and performance analysis

3.5 Chapter summary

Section IV. A Cross-layer Transport Protocol Design in the Terminal Systems of DC

4.1 Chapter introduction

4.2 Design Principles of Dual Perceptual Scheduling Protocol

4.3 Mechanism analysis and design

4.4 Dual-aware scheduling protocol

4.5 System stability verification

4.6 Experiment and performance analysis

4.7 Chapter summary

Section V. Optimization of Container Communication in DC Back-end Servers

5.1 Chapter introduction

5.2 Research Background

5.3 Container group communication mechanism design

5.4 Model sublinear limit

5.5 Experiment and performance analysis

5.6 Chapter summary

Section VI. The Deployment of Large-scale Data Synchronization System for Cross-DC Networks

6.1 Chapter introduction

6.2 Overview of traffic management issues

6.3 Large-scale data transmission system—PieBridge

6.4 System stability proof

6.5 Experiment and performance analysis

6.6 Chapter summary

Section VII. Storage issuses in the edge

7.1 Chapter introduction

7.2 Characteristics in the short video network

7.3 traditional caching policies become invilid

7.4 RL-based strategy

7.5 Experiment and performance analysis

7.6 Chapter summary

Section VIII. Computing issuses in the edge

8.1 Chapter introduction

8.2 Computing scenario in edge computing

8.3 Task mitigation and transfer

8.4 Speed up the edge computing by transformation

8.5 Chapter summary

Section IX. Conclusion

O autorze

Yuchao Zhang is currently an Associate Professor at Beijing University of Posts and Telecommunications, China. She completed her Ph.D at the Computer Science Department of Tsinghua University (Outstanding PhD graduate of Beijing, Doctoral Dissertation Award from Tsinghua University), and was then a postoc at Hong Kong University of Science and Technology. She now leads the Data And Network CoordinatE Group (DANCE for short) at BUPT. She is the holder of National Natural Science Foundation of China (NSFC) Youth Fund and the China Post-doctoral Science Foundation (First Class). She has published numerous papers in leading and journals and conferences, and she holds more than 20 Chinese and 5 international patents. She serves as a PC member for several conferences, including AIMS 2018/2019, and IWQoS 2019. She is also a member of China Computer Federation (CCF) Youth Committee. 

Ke Xu is currently a full professor with the department of computer science and technology, Tsinghua University. His research interests include next-generation Internet, P2P systems, Internet of Things, network virtualization, and network economics. He has published more than 100 international conference and journal papers. He serves as an Associate Editor for the IEEE Internet of Things journal and guest edited several special issues in IEEE and springer journals. He was named the Young Scientist Award by China Computer Federation in 2011, the Talent Award by China Venture Investment Corporation Software Engineering in 2012, and he got the National Science Fund for Outstanding Youth in 2018.

Blurb

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.