Related Materials
Related documents, notes, and slides are displayed below. The webpage version of some materials can be found at
hliangzhao.cn.
Documents & Notes
Discussions & Slides
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Dependent Function Embedding for Distributed Serverless Edge Computing
This slide is a report on my preprint Placement is not Enough: Embedding with Proactive Stream Mapping on the
Heterogenous Edge. This talk was held in the PhD Symposium, CCF ICSS '21, May 2021.
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DPoS: Decentralized, Privacy-Preserving, and Low-Complexity Online Slicing for Multi-Tenant Networks
This slide is a report on my paper DPoS: Decentralized, Privacy-Preserving, and Low-Complexity Online Slicing for Multi-Tenant Networks,
published in IEEE TMC. This talk was held in Apr 2021.
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Park: An Open Platform for Learning-Augmented Computer Systems
This slide is a report on Hongzi Mao’s paper Park:
An Open Platform for Learning Augmented Computer Systems, published in NeurIPS '19. This paper won the ICML Workshop
Best Paper Award. This talk was held in Jan 2021.
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Review the Transport Layer: TCP and UDP
This slide is a reminder for chapter 3 of the book Computer Networking: A Top-Down Approach, Sep 2020.
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Review the Application Layer
This slide is a reminder for chapter 2 of the book Computer Networking: A Top-Down Approach, Sep 2020.
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Computer Networks and the Internet: A Comprehensive View
This slide is a reminder for chapter 1 of the book Computer Networking: A Top-Down Approach, Sep 2020.
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How Should I Slice My Network?
This slide is a report on the paper How Should I Slice My Network?
A Multi-Service Empirical Evaluation of Resource Sharing Efficiency, published in MobiCom '18. This talk was
held in Dec 2019.
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CrowdBC: A Blockchain-Based Decentralized Framework for Crowdsourcing
This slide is a report on the paper CrowdBC: A Blockchain-Based Decentralized Framework for
Crowdsourcing, published in IEEE TPDS, Jun 2019.
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Edge Intelligence: the Confluence of Edge Computing and Artificial Intelligence
This slide is a report on our preprint Edge Intelligence: the Confluence of Edge
Computing and Artificial Intelligence, Sep 2019.
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Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing
This slide is a report on the paper Edge Intelligence: Paving the Last Mile of Artificial
Intelligence with Edge Computing, preprinted on arXiv, May 2019.
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On Mobile Edge Computing: Game Theory, Edge AI and Other New Ideas
The slide reviews some important concepts and methods in Game Theory and Edge Intelligence. Especially their
utilization in wireless communication and networks. The talk was held in Jan 2019.
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Lyapunov Optimization: An Introduction
The slide is a simplified version of the monograph Lyapunov Optimization: An Introduction.
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Application of Optimization Methods and Edge AI
In this slide, we review the methods used in MEC and discuss how to design a better system model with methods embedded naturally, Nov 2018.
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Towards an Intelligence Edge: Wireless Communication Meets Machine Learning
In this slide, we study the learning-driven communication scheme, proposed in Towards an Intelligence
Edge: Wireless Communication Meets Machine Learning, Sep 2018.
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Edge Intelligence: On-demand Deep Learning Model Co-inference with Device-edge Synergy
In this slide, we study the Edgent framework, published in MECOMM'18.
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Models and Methods in Mobile Edge Computing Systems
In this slide, we review the classic models and methods proposed in edge computing systems up to right now, Aug 2018.