AI Seminar – Alaa Eddin Alchalabi
Online
Online
Abstract: Edge computing is a promising paradigm that brings servers closer to users, leading to lower latencies and enabling latency-sensitive applications such as cloud gaming, virtual/augmented reality, telepresence, and telecollaboration. Due to the high number of possible edge servers and incoming user requests, the optimum choice of user-server matching has become a difficult challenge, especially in the 5G era where the network can offer very low latencies. In this paper, we introduce the problem of fair server selection as not only complying with an application’s latency threshold but also reducing the variance of the latency among users in the same session. Due to the dynamic and rapidly evolving nature of such an environment and the capacity limitation of the servers, we propose as solution a Reinforcement Learning (RL) method in the form of a Quadruple Q-Learning model with action suppression, Qvalue normalization, and a reward function that minimizes the variance of the latency. Our evaluations in the context of a cloud gaming application show that, compared to a existing methods, our proposed method not only better meets the application’s latency threshold but is also more fair with a reduction of up to 35% in the standard deviation of the latencies experienced by users.
Presenter Bio: Alaa Eddin Alchalabi received his M.Sc. degree in electronics and computer engineering from Istanbul Sehir University, Istanbul, Turkey. He is currently pursuing his Ph.D. degree in electrical and computer engineering with the University of Ottawa, Ottawa, ON, Canada. He is currently a Research Assistant with the Distributed and Collaborative Virtual Environment Research Laboratory, University of Ottawa, where he is involved in machine learning and multimedia systems.
The University of Alberta Artificial Intelligence (AI) Seminar is a weekly meeting where researchers (including students, developers, and professors) interested in AI can share their current research. Presenters include local speakers from the University of Alberta and industry as well as other institutions. The seminars discuss a wide range of topics related in any way to Artificial Intelligence, from foundational theoretical work to innovative applications of AI techniques to new fields and problems are of interest. Learn more at the AI Seminar website and by subscribing to the mailing list!
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