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Events & lectures

Jon Crowcroft: Zero Carbon Networking

Prof. Jon Crowcroft from University of Cambridge will give a guest lecture on Tuesday 28.9. 10-12 at Kumpula in Exactum B222. The title of the lecture is: Zero Carbon Networking. Attached you will find more information about the lecture and his bio.

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Zero Carbon Networking

In the UK funded INTelligent Energy awaRe NETworks project http://www.internet-project.org.uk/ we are starting to look at how to reduce the carbon cost of the Internet to zero. In this talk, I will describe the three core aspects to our research plan: firstly we replace as much as possible of the electronics in access and core networks with photonics; secondly, we make use of energy proportional rate and route adaption through feedback mechanism about power usage based on the ideas in the IETF Congestion Exposure research; finally, we migrate services through fast VM and data burst switching to sites co-located with renewable energy resources where there is current overproduction - for example wind farm or tidal barriers. The overall goal is to produce models that are analogous to co-optimising two networks, one for communications and services, the other for energy - and are analogous to co-optimising two networks, one for communications and services, the other for energy - and taking advantage of the observation that transmission of power over a distance is far more lossy than data.

About Jon Crowcroft:
Jon Crowcroft is the Marconi Professor of Networked Systems in the Computer Laboratory, of the University of Cambridge. Prior to that he was professor of networked systems at UCL in the Computer Science Department. He has supervised over 45 PhD students and over 150 Masters students.

He is a Fellow of the ACM, a Fellow of the British Computer Society and a Fellow of the IEE and a Fellow of the Royal Academy of Engineering, as well as a Fellow of the IEEE. He was a member of the IAB 96-02, and went to the first 50 IETF meetings; was general chair for the ACM SIGCOMM 95-99; is recipient of Sigcomm Award in 2009. He is the Principle Investigator in the Computer Lab for the EU Social Networks project, the EPSRC funded
Horizon Digital Economy project, hubbed at Nottingham, the EPSRC funded project on federated sensor nets project FRESNEL, in collaboration with Oxford ; and a new 5-year project towards a Carbon Neutral Internet with Leeds.

Thomas Plagemann: From Networked Sensors and Actuators to Complex Event Processing and its Application in the Future Internet

Invited talk by Prof Thomas Plagemann on Wednesday 22.9. at 10:15 in T2

Title: From Networked Sensors and Actuators to Complex Event
Processing and its Application in the Future Internet.

Thomas Plagemann

Thomas is Professor at the University of Oslo since 1996. Currently, he leads the research group in Distributed Multimedia Systems at the Department of Informatics. He has a Dr.SC degree from Swiss Federal Institute of Technology (ETH) in 1994 and received in 1995 the Medal of the ETH Zurich for his excellent Dr.Scient thesis. His research interests include protocol architectures and middleware solutions for multimedia communication and mobile systems, Future Internet, and multimodal sensor systems and event processing. He has published over 100 papers in peer reviewed journals, confrences and workshops in his field. He serves as Associate Editor for ACM Transactions of Multimedia Computing, Communications and Applications and as Editor-in-Chief for the Springer Multimedia Systems Journal.

Antti Hyvärinen: Incorporating Clause Learning in Grid-Based Randomized SAT Solving

HIIT seminar Otaniemi, Monday September 20, 13:15
Location: Computer Science building, hall T2

Antti Hyvärinen
Helsinki Institute for Information Technology HIIT
Department of Information and Computer Science
Aalto University School of Science and Technology

Title:
Incorporating Clause Learning in Grid-Based Randomized SAT Solving

Abstract:
Computational Grids provide a widely distributed computing environment suitable for randomized SAT solving. This paper develops techniques for incorporating clause learning, known to yield significant speed-ups in the sequential case, in such a distributed framework.

The approach exploits existing state-of-the-art clause learning SAT solvers by embedding them with virtually no modifications. The paper presents an algorithmic framework for learning-enhanced randomized SAT solving in Grid environments. With a substantial amount of controlled experiments it is demonstrated that this approach enables a form of clause learning which is not directly available in the underlying sequential SAT solver. Finally, an implementation of the algorithm is run in a production level Grid where it solves several problems not solved in the SAT 2007 solver competition.

Joint work with Tommi Junttila and Ilkka Niemelä

Laura Langohr: My past and future doctoral research

 As part of her PhD studies Laura Langohr will give a presentation on Friday 17 September 2010 at 12:15 in room C222 on

"My past and future doctoral research (Y2 presentation)"

Abstract: As a PhD students I am giving the obligatory presentation after about two years of my studies on my progress so far. The first half of the presentation will be on a general level about what I have done so far: finding representative nodes as well as retrieving relevant and non-redundant nodes in weighted graphs. The other half will be on my plans how to finish the thesis, that is mainly the research I plan to do within this academic year.

The Fifth European Workshop on Probabilistic Graphical Models (PGM2010)

The European Workshop on Probabilistic Graphical Models (PGM) is a biennial workshop that brings together researchers interested in all aspects of graphical models for probabilistic reasoning, decision making, and learning. PGM2010 is the fifth edition of the workshop, taking place in the Marina Congress Center in Helsinki, Finland, on 13-15 September.

Programme Co-Chairs:
Petri Myllymäki, University of Helsinki
Teemu Roos, Helsinki Institute for Information Technology HIIT
Tommi Jaakkola, MIT

Contact: pgm2010@helsinki.fi
Home page: http://www.helsinki.fi/pgm2010/