Seminar Announcement December 24, Saturday, 15:00-17:00, Room: A302,
December 24, Saturday, 15:00-17:00, Room: A302, WNLO
Title: Quality-of-Experience (QoE) and Power Efficiency
Tradeoff for Fog Computing Networks
Dr . Yong Xiao ( )
Research Assistant Professor
University of Arizona
Fog computing is a visualized network architecture that uses one or a collaborative
multitude of end-user clients or near-user edge devices to carry out a substantial
amount of storage, communication, and control, configuration, measurement, and
management. It can offload the computation workload to the cloud data centers, reduce
the transmission latency, and ease traffic congestion of the Internet. It also enables
many new services and applications that cannot fit well in the traditional cloud
computing architecture. In this talk, I will first briefly introduce the recent
developments in the mobile cloud and fog computing. I will then introduce two
important performance metrics for fog computing networks: quality-of-experience
(QoE) and power efficiency. A fundamental tradeoff between QoE and power
efficiency will then be discussed. Motivated by the observation that the users QoE can
be further improved if the workload offloading process of each fog node can be helped
by others, I also talk about a fog computing framework with fog node cooperation. The
QoE and power efficiency tradeoff under cooperative fog computing will be discussed.
A novel distributed optimization framework based on distributed alternating direction
method of multipliers (ADMM) via variable splitting to achieve the optimal tradeoff
solution will be introduced. Finally, a fog computing platform supported by a wireless
infrastructure as a case study to verify the performance of the proposed framework.
Yong Xiao is a Research Assistant Professor in the Department of Electrical and
Computer Engineering at the University of Arizona. He is also the center manager of
the NSF BWAC Center at the University of Arizona. Previously, he worked as Postdoc
Research Fellow at Trinity College Dublin, Massachusetts Institute of Technology, and
University of Houston. His research interests include game theory, machine learning,
distributed optimization, economic modeling and their applications in cyber-physical
systems, green communication networks, wireless communication networks, internet of
things (IoT), smart grid and energy harvesting networks, wireless power transfer, and
mobile cloud computing. He is an IEEE Senior Member.
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