返回信息流3月4日(下周一)上午9点到11点在北京邮电大学新科研楼610。德国电信(T-lab)杰出科学家、芬兰阿尔托大学兼职教授和香港科技大学Pan Hui(許彬)教授将来北邮进行学术交流,他将分享在机会计算和社会计算(opportunistic computing, social computing)领域的一些研究成果和实践,欢迎感兴趣的老师和同学一起参加。
Title: Opportunities and Challenges in Opportunistic Networking
(Opportunistic Computing)
In this talk, I am aiming to cover several important aspects of
opportunistic (challenged) networking research, mainly from the system and
practice approach. First, I would emphasize that system research can be fun
and understanding of the underlying real environment and the need of local
people is very important for researchers to tackle the real problem. In
this regard, I will share my experience on deploying challenged networks
into several rural areas in the past 4 years, including the Swedish Lapland,
India Himalaya, Brazilian Amazon, and Swiss Alps. Mobility is a double-edge
sword; it creates disruption and disconnection in the network, but at the
same time potentially increases the capacity of the network. Understanding
mobility is a key to opportunistic networking research. I will introduce
several mobility experiments using mobile devices and illustrate several
observed properties regarding contact patterns and social behavior, which
are shown to have high impact on forwarding protocol performance. Third , I
will highlight how planet-scale public web camera can be exploited to
explore mobility and dynamics of global cities. On the other hand, the
feasibility of opportunistic communication largely rely on the willingness
of potential relays to forward information for others, and for that matter,
altruism is an important factor. Fourth, I will outline an experiment for
measuring the altruism level of mobile users, discuss the challenges, and
show some results regarding the impact of battery level, social ties, and
mood. A large scale and realistic testbed is essential for performance
evaluation of challenged networks. Finally, Killer applications are the key
to put theory into reality and to ensure the sustainability of the research
field. I will select several potential examples, which include using
opportunistic networks for cellular traffic offloading, privacy-preserved
adverts, and anonymous communication in the presence of adversary
authorities.
許教授的简历:
Prof. Pan HUI (許彬) received his Ph.D degree from Computer Laboratory,
University of Cambridge, and earned his MPhil and BEng both from the
Department of Electrical and Electronic Engineering, University of Hong
Kong. He is currently a faculty member of the Department of Computer Science
and Engineering at the Hong Kong University of Science and Technology where
he directs the System and Media Lab. He also serves as a Distinguished
Scientist at Telekom Innovation Laboratories (T-labs) Germany and an adjunct
Professor of social computing and networking at Aalto University Finland.
Before returning to Hong Kong, he has spent several years in T-labs and
Intel Research Cambridge. He has published more than 100 research papers and
has several granted and pending European patents. He has founded and chaired
several IEEE/ACM conferences/workshops, and served on the technical program
committee of numerous international conferences and workshops including IEEE
Infocom, SECON, MASS, Globecom, WCNC, and ITC.
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德电杰出科学家和港科教授关于机会计算和社会计算的学术报告
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