Wednesday, March 1, 200
TIME: 12:30 pm - 5:30 pm

PLACE: CIC 410, Intel Conference Room


12:30 pm
Lunch available
1:00 pm
Mary Baker, HP Labs, Palo Alto
Long-term Digital Preservation
1:45 pm
Nigel Davies, Lancaster University, UK
Experiences of Engineering the e-Campus Pervasive Display System
2:30 pm
Dushyanth Narayanan, Microsoft Research, Cambridge, UK
Seaweed: Scalable Distributed Querying
3:15 pm
David Kotz, Institute for Security Technology Studies, Dartmouth College
Sensing, Modeling, and Predicting Mobility
4:00 pm
Mark Corner, University of Massachusetts-Amherst
Hierarchical Power Management
4:45 pm
Antonio Krüger, Institute for Geoinformatics, University of Münster, Germany
Navigating Indoor Spaces

SPEAKER: Mary Baker, HP Labs, Palo Alto
Long-term Digital Preservation

The computer industry has successfully provided many tools for creating the digital counterparts of formerly analog assets, including photographs, music, movies, medical records, and intelligence data. One of the promises of this digital world is that these virtual assets can "live forever." Unfortunately, experience shows us that digital materials, even those stored on long-lived media, are often more vulnerable to damage and corruption than analog materials. Why is this? What can we do about it? In this talk we'll cover the threats to digital preservation and some of the solutions we're currently developing.

BIO: Mary Baker is a senior research scientist at HP Labs in Palo Alto. Her research interests include distributed systems, networks, mobile systems and digital preservation. Baker received her BA, MS, and Ph.D. degrees from the University of California at Berkeley. She is a recipient of a Sloan Research Fellowship, a Terman Fellowship, an Okawa Foundation grant, and an NSF Career Award. She was a founding member of the NTT DoCoMo USA Labs technical advisory board and the IEEE Pervasive Computing editorial board.


SPEAKER: Nigel Davies, Lancaster University, UK
Experiences of Engineering the e-Campus Pervasive Display System

The e-Campus project at Lancaster University is an ambitious attempt to create a campus-wide deployment of pervasive public displays. These displays range from small scale interactive door plates to multi-projector outdoor installations. They are unified by a shared vision of a highly interactive context-aware display system benefiting both staff and students and displaying rich "new-media" content. Following a series of small-scale trials the project is now in the final stages of deployment. In this talk I will describe our
experiences of creating e-campus installations over the last 2 years and how these have shaped both the design and implementation of the distributed systems infrastructure for e-campus and our agenda for future work on distributed systems platforms for mobile and pervasive computing.

BIO: Nigel Davies is a Professor in the Computing Department at Lancaster University. After his studies he served as a visiting researcher at the Swedish Institute of Computer Science (SICS) before returning to Lancaster in 1994 to help create the University's Mobile Computing group. He has since managed numerous projects at Lancaster, including the MOST and GUIDE projects, both of which have been widely reported on in the academic literature and the popular press. During 1999/ 2000 he spent a year as a visiting researcher at Sony's Distributed Systems Lab in San Jose and from 2001-2004 he divided his time between
Lancaster and Tucson, AZ where he was an Associate Professor at the University of Arizona. He has participated actively in both the mobile and pervasive computing research communities and is an Associate Editor in Chief of IEEE Pervasive Magazine. He works closely with local industry on the commercial development of mobile computing solutions.


SPEAKER: Dushyanth Narayanan, Microsoft Research, Cambridge, UK
Seaweed: Scalable Distributed Querying

Many emerging applications require the ability to query large, structured, highly distributed data sets. For example, managers of large data centers may wish to query the load, the set of running services, the free disk space, etc. across 10,000+ machines. Enterprise network management requires the ability to ask questions such as "show me the applications running on all machines with more than 500 active flows" across networks with 100,000+ nodes distributed across the planet. Internet-scale diagnostic tools such as Dr. Watson for Windows collect and analyze program crash information over millions of PCs, but are limited by the amount of data they can upload to a centralized database.

Seaweed is a new infrastructure aimed at giving users the abstraction of a single centralized database across a large, highly distributed data set. In this talk I will describe the main research challenges involved in building Seaweed and our proposed solutions. Specifically, I will describe a latency-based cost estimation scheme that enables distributed "query planning"; a space-time scheduling approach that predicts and schedules across periods of end-systm unavailability; and a distributed index data structure that trades network bandwidth for latency for by pro-actively aggregating meta-data.

This is joint work with Antony Rowstron, Richard Mortier, and Austin Donnelly at Microsoft Research, Cambridge.

BIO: Dushyanth Narayanan is a systems researcher at Microsoft Research, Cambridge, UK. His current interests are in database performance modelling and large-scale distributed querying. He acquired his Ph.D. from Carnegie Mellon University, where he worked on adaptation in interactive wearable applications. More information about him can be found at


SPEAKER: David Kotz, Institute for Security Technology Studies, Dartmouth College
Sensing, Modeling, and Predicting Mobility

Many mobile and pervasive-computing applications depend on knowledge of user location, to provide location-based services or other context-aware behavior. The quality of these applications depend on the system's ability to localize users and user devices, and some depend on the ability of the system to predict a user's next location. Furthermore, since many researchers depend on simulation to explore the behavior of a protocol or system when faced with large numbers of mobile users and devices, this research depends on the quality of mobility models to accurately describe realistic mobility patterns. In this talk I describe recent work in Dartmouth's Center for Mobile Computing aimed at understanding the accuracy of wardriving to collect the underlying reference points for Wi-Fi localization, the accuracy of location-prediction algorithms when faced with real mobility traces, and methods to extract realistic mobility models from real mobility traces. (Joint work with Minkyong Kim and Libo Song)

BIO: David Kotz is a Professor of Computer Science at Dartmouth College in Hanover NH. He also serves as the Director of the Center for Mobile Computing, which focuses on wireless networks and mobile computing, and Executive Director of the Institute for Security Technology Studies, which is dedicated to interdisciplinary research and education in cyber security and emergency-response technology. His research interests include security and privacy, pervasive computing, and wireless networks. After receiving his A.B. in Computer Science and Physics from Dartmouth in 1986, he completed his Ph.D in Computer Science from Duke University in 1991 and returned to Dartmouth to join the faculty. He is a Senior Member of the IEEE Computer Society, and a member of the ACM, the USENIX Association, and of Computer Professionals for Social Responsibility. For more information see


SPEAKER: Mark Corner, University of Massachusetts-Amherst
Hierarchical Power Management

The ease of deployment of wireless and mobile systems is pushing the network edge far from powered infrastructures. Providing always-on functionality in such systems can be extremely energy intensive so it is crucial that they conserve power--increased consumption translates into a larger battery or a shorter lifetime. This talk presents a technique, called Hierarchical Power Management (HPM), that addresses this tension. HPM reduces the energy usage of a system by combining high-power, resource-rich platforms with low-power, resource-constrained platforms. The low-power platforms can remain always-on to receive, buffer, and filter requests from the network while the high-power platforms remain in power-saving modes. To maximize the amount of time the high-power platform remains suspended, the low-power platforms delay execution of requests, cache recent results, and perform tasks locally when possible. We present two prototype instances of this technique: the Turducken laptop and the Triage microserver. We also show results that demonstrate substantial energy savings, leading to battery lifetimes five times longer than current designs.

BIO: Mark Corner has been an Assistant Professor in the Computer Science Department at the University of Massachusetts-Amherst since 2003 after graduating with his PhD in Electrical Engineering from the University of Michigan. His primary interests lie in the areas of mobile and pervasive computing, networking, file systems and security. He was the recipient of an NSF CAREER award in 2005, a Best Paper at ACM
Multimedia 2005, as well as the Best Student Paper Award at Mobicom 2002. Prof. Corner's work is supported by the NSF, DARPA, and the NSA.


SPEAKER: Antonio Krüger, Institute for Geoinformatics, University of Münster, Germany
Navigating Indoor Spaces

In this talk I will discuss research on human-computer interaction paradigms in the context of spatially aware systems, that provide assistance in instrumented buildings. The talk will focus on our recent advances the context of indoor pedestrian navigation systems that make use both of user instrumentation and instrumentation of the environment. I will also discuss more general systems that provide useful information to users of indoor spaces (such as a complex office building or retail stores) as well as allow for multi-modal interaction through speech and gestures. Beside presenting different technologies that can be used to build such prototypes, I will also discuss how we have tried to evaluate our prototypes both in the lab and in the field.

BIO: My research interest covers different areas of Intelligent User Interfaces. I am investigating how mobile and ubiquitous computing technology can help users to effectively carry out their tasks in their spatial environments. For this purpose we are developing concepts that make use of multiple input and output modalities (speech, graphics, gestures and interface agents) to allow users to communicate with private and public devices in the environment. At the moment we are concentrating our efforts on several application areas, i.e. pedestrian navigation, museum guides and shopping assistants. See for more details.


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