【海外置業】倫敦西區的物業需求持續增加，優質地段的豪宅新盤供不應求，令一眾準買家更為渴市。由英國發展商Art Invest 及Dukelease Properties 聯同ECE攜手打造的豪宅新盤，101 On Cleveland Street就座落於當地傳統貴族地段Fitzrovia，矜貴罕有的W1郵政編碼與座標，襯托出顯赫身份；該區雲集多所高等學府，洋溢濃厚文化氣息，素來深受家長青睞，不乏放租潛力，故是投資自住相宜。

☻樓盤資料
地址：101 On Cleveland Street, London W1
發展商：Art-Invest , Dukelease Properties 及ECE
提供戶型： 標準1房至3房、頂層連天台特色戶
落成日期：今年第4季
售價： £1,300,000 起

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位置優越：坐落於倫敦西區Fitzrovia地段，毗鄰牛津街及攝政公園
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交通便利：毗鄰Great Portland Street站、Goodge Street站、Warren Street站等
知名校網：前往倫敦大學學院及西敏大學僅約7分鐘步程

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日期：2021年3月6日及7日(周六及日）
時間：上午11時至下午6時
地點：中環香港文華東方酒店2樓愛丁堡廳

登入Savills網站了解詳情： http://sav.li/lwy
登入CBRE網站了解詳情： https://bit.ly/2ZEpkRx

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交通大學IBM中心特別邀請到ECE Department at New York University 的 Prof. H. Jonathan Chao 前來為我們演講，歡迎有興趣的老師與同學免費報名參加！

演講標題：CFR-RL: Traffic Engineering with Reinforcement Learning in SDN
演 講 者：Prof. H. Jonathan Chao (ECE Department at New York University)
時 間：2020/01/20(一) 15:00 ~ 17:00
地 點：交大工程四館816室
活動報名網址：https://forms.gle/k5txEfTX6jM7PBR98
聯絡方式：曾紫玲 Tel：03-5712121分機54599 Email：tzuling@nctu.edu.tw

Abstract:
Traffic Engineering (TE) is one of important network features for Software-Defined Networking (SDN) with an aim to help Internet Service Providers (ISPs) optimize network performance and resource utilization by configuring the routing across their backbone networks. Although TE solutions can achieve the optimal or near-optimal performance by rerouting as many flows as possible, they do not usually consider the negative impact, such as packet out of order, when frequently rerouting flows in the network. To mitigate the impact of network disturbance, one promising TE solution is forwarding the majority of traffic flows using Equal-Cost Multi-Path (ECMP) and selectively rerouting a few critical flows using SDN to balance link utilization of the network. However, critical flow rerouting is not trivial because the solution space for critical flow selection is immense. Moreover, it is impossible to design a heuristic algorithm for this problem based on fixed and simple rules, since rule-based heuristics are unable to adapt to the changes of the traffic matrix and network dynamics. In this talk, we describe a Reinforcement Learning (RL)-based scheme, called CFR-RL, that learns a policy to select critical flows for each given traffic matrix automatically. It then reroutes these selected critical flows to balance link utilization of the network by formulating and solving a simple Linear Programming (LP) problem. Extensive evaluations show that CFR-RL outperforms the best heuristic by 7.4% - 12.2% and reroutes only 10% - 21.3% of total traffic.

Biography:
H. Jonathan Chao is Professor of Electrical and Computer Engineering (ECE) at NYU, where he joined in January 1992. He is currently Director of High-Speed Networking Lab. He was Head of ECE Department from 2004-2014. He has been doing research in the areas of software defined networking, network function virtualization, datacenter networks, packet processing and switching, network security, and machine learning for networking. He holds 63 patents and has published more than 265 journal and conference papers. During 2000–2001, he was Co-Founder and CTO of Coree Networks, NJ, where he led a team to implement a multi-terabit router with carrier-class reliability. From 1985 to 1992, he was a Member of Technical Staff at Bellcore, where he was involved in network architecture designs and ASIC implementations, such as the world’s first SONET-like Framer chip, ATM Layer chip, Sequencer chip (the first chip handling packet scheduling), and ATM switch chip. He is a Fellow of National Academy of Inventors (NAI) for “having demonstrated a highly prolific spirit of innovation in creating or facilitating outstanding inventions that have made a tangible impact on quality of life, economic development, and the welfare of society.” He is a Fellow of the IEEE for his contributions to the architecture and application of VLSI circuits in high-speed packet networks. He received Bellcore Excellence Award in 1987. He is a co-recipient of the 2001 Best Paper Award from the IEEE Transaction on Circuits and Systems for Video Technology. He coauthored three networking books. He worked for Telecommunication Lab in Taiwan from 1977 to 1981. He received his B.S. and M.S. degrees in electronics engineering from National Chiao Tung University, Taiwan, in 1977 and 1980, respectively, and his Ph.D. degree in electrical engineering from The Ohio State University in 1985.