Evolving Internet into Future via Named Data Networking
While the Internet has succeeded far beyond expectations, the success has also stretched its initial design assumptions. Since applications operate in terms of data and more end points become mobile, it becomes increasingly difficult and inefficient to satisfy IP's requirement of determining exactly where (at which IP address) to find desired data. The Named Data Networking project (NDN) aims to carry the Internet into the future through a conceptually simple yet transformational architecture shift, from today's focus on where -- addresses and hosts -- to what -- the data that users and applications care about. By naming data instead of their locations, NDN transforms data into a first-class entity, enabling direct security of data instead of its container as well as radically scalable communication mechanisms such as multicast delivery and automatic caching.
Lixia Zhang Bio:
Lixia Zhang is a professor in the Computer Science Department of UCLA. She received Ph.D in computer science from MIT and was a member of the research staff at Xerox PARC before joining UCLA. In the past she served as the vice chair of ACM SIGCOMM, member of the editorial board for the IEEE/ACM Transactions on Networking, member of the Internet Architecture Board, and co-chair of the Routing Research Group under IRTF. She is a fellow of ACM and IEEE, and the recipient of 2009 IEEE Internet Award.
Characterizing Human Mobility from Cellular Network Data
An improved understanding of human mobility patterns would yield insights into important societal issues such as the environmental impact of daily commutes. In this work, we analyze anonymized cellular network data to identify important locations in people's lives, for example home and work. Starting with temporally sparse and spatially coarse location information, we use clustering and regression to identify important places for arbitrary cellphone users. We validate our results against ground truth provided by volunteers and against census statistics. Finally, we calculate home-to-work commute distances and estimate the carbon footprints of those commutes for hundreds of thousands of anonymous users in the Los Angeles and New York metropolitan areas.
This is joint work with Richard Becker, Sibren Isaacman, Stephen Kobourov, Margaret Martonosi, James Rowland, and Alexander Varshavsky.
Ramón Cáceres Bio:
Ramón Cáceres is a Lead Member of Technical Staff at AT&T Labs. His research interests include mobile and pervasive computing, wireless networking, virtualization, and security. He is an ACM Distinguished Scientist and holds a Ph.D. from the University of California at Berkeley. He was born and raised in Dominican Republic.
Ubiquitous Computing: Moving Interaction Beyond the Desktop and into the City
Ubiquitous computing is a post-desktop model of interacting with technology, whereby computation is embedded in everyday objects and locations. This approach to designing computer systems aims to make technology more friendly, more appropriate, and "invisible" in the context of everyday life. In this talk I will present an overview of ubiquitous computing research conducted by my team over the past 5 years, exploring ways in which we can design both small-scale and city-scale interactive systems. The work focuses on developing tools, models and theories that help us analyze people, spaces and technology on a city scale.
Vassilis Kostakos Bio:
Vassilis Kostakos is an Assistant Professor in the Madeira Interactive Technologies Institute at the University of Madeira, and an Adjunct Assistant Professor at the Human Computer Interaction Institute at Carnegie Mellon University. He holds a BSc and PhD in Computer Science from the University of Bath, and is a Fellow of the Finland Distinguished Professor Programme. His research has been reported by popular media such as the BBC and New Scientist, and he regularly consults on social networking systems. His current projects address security and privacy for the web and situated services, novel sensing techniques for urban transport, sustainability, and modeling of city-scale mobility. His interests include: mobile and pervasive computing, human-computer interaction, social networks, security and privacy, modeling and simulation, epidemics, wireless technologies, and space syntax.
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