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.

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 systems in industry

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