We are approaching a fundamental shift in the computational era as the number of connected smart devices and Internet of Things (IoT) devices (e.g., smartphones, tablets, smart watches, smart glasses, smart meters, connected vehicles, etc.) are expected to exceed several billions in the next few years. Recent studies show that it is expected that the amount of data generated at the edge of the Internet by smart and IoT devices will be vast, incredibly rich, extremely valuable, and becoming the key enabler for data-rich edge systems and applications in several smart computing domains like smart homes, connected health, and smart cities. Therefore, it becomes very obvious that it's far more efficient and practical to manage and process data as close to its source as possible (the edge of the Internet) instead of a massive and centralized traditional storage (the cloud).

Moreover, in recent years, the world has seen many major breakthroughs in machine learning (ML) and artificial intelligence (AI) research. By integrating the advances in smart devices and edge systems with the advances in machine learning, the future role of smart edge systems, networks, and applications is becoming limitless and it's expected to revolutionize the future of the world within the next few years. This is especially important as edge systems generate ever-growing and evolving collections of data, calling for dedicated ML/AI techniques capable of handling streaming and lifelong learning problems.

The 2020 IEEE PerCom workshop on Smart Edge Computing and Networking (SmartEdge'20), following its previous versions, aims at bringing together experts from several research communities spanning pervasive & mobile computing, wireless networks, embedded systems, Internet of Things, machine learning, big data, and data analytics to discuss data needs and interests, challenges to be addressed, tools to be developed, and new research problems on edge wireless infrastructure, edge mobile systems, rich set data accessed or generated by edge devices and the Internet of Things.

The workshops received numerous high-quality submissions in response to the call for papers in which, with the help of the members of the Technical Program Committee, we selected 8 papers to form a full-day technical program. We would like to acknowledge the tremendous efforts of each member of SmartEdge'20 program committee. We also would like to acknowledge the efforts of Amy Murphy and Edison Thomaz, IEEE PerCom'20 Workshops' Co-Chairs. Finally, we are very grateful to all authors for their contributions and we kindly welcome you to SmartEdge'20.

SmartEdge'20 General Co-Chairs
Tamer Nadeem, Virginia Commonwealth University, USA
Glenn Ricart, US Ignite, USA
Theodoros Salonidis, IBM Research, USA

Organizing Committee
Workshop Co-chairs
	Tamer Nadeem (Virginia Commonwealth University, USA)
	Glenn Ricart (US Ignite, USA)
	Theodoros Salonidis (IBM Research, USA)
Webpage and Publicity Chair
	Hannaneh Barahouei Pasandi (Virginia Commonwealth University, USA)

Technical Program Committee

Ing-Ray Chen	Virginia Tech	USA
Jinzhu Chen	General Motors	USA
Khalid Elgazzar	Ontario Tech University	Canada
Carol Fung	Virginia Commonwealth University	USA
Maria Gorlatova	Duke University	USA
Abhimanyu Gosain	Northeastern University	USA
Khaled Harras	Carnegie Mellon University	USA
Georgios Iosifidis	Inactive EDAS Account	Ireland
Puneet Jain	Google	USA
Shubham Jain	Old Dominion University	USA
Archan Misra	Singapore Management University	Singapore
Tamer Nadeem	Virginia Commonwealth University	USA
Shadi Noghabi	Microsoft Research	USA
Santosh Nukavarapu	Virginia Commonwealth University	USA
Tadashi Okoshi	Keio University	Japan
Stephan Olariu	Old Dominion University	USA
Hannaneh Pasandi	Virginia Commonwealth University	USA
Glenn Ricart	US Ignite	USA
Mohammad Taghi Saffar	Google AI.	USA
Ahmed Salem	Amazon AWS	USA
Theodoros Salonidis	IBM Research	USA
Mostafa Uddin	Bell Labs (Nokia)	USA
Peter Van Roy	Université catholique de Louvain	Belgium
Yifan Zhang	SUNY Binghamton	USA