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CS Seminar | Systems Challenges for Data Science at The Alan Turing Institute

Start Date: February 20, 2017
End Date: February 20, 2017

By Professor Jon Crowcroft ( University of Cambridge )
 
Today, data science systems at “hyperscale” are available only to large, cloud-based companies, such as Google, Microsoft and Facebook, or in very specialized, data-driven science. But much of the promise lies in dealing with data that is somewhat more distributed in rack scale systems such as the Internet of Things, Smart Cities, public health monitoring and personal cloud in mobile provider networks. Neither of these environments provide ease of programming with high throughput, low latency and decent security and confidentiality. In this talk, Professor Crowcroft will discuss the challenges that arise from the design of systems, in particular programming languages, operating systems, and networking and analytics platforms, and how The Alan Turing Institute, with its partners and collaborators, is addressing them.
 
Biography: Jon Crowcroft has been the Marconi Professor of Communications Systems in the Computer Laboratory since October 2001. He has worked in the area of Internet Support for multimedia communications for over 30 years. Three main topics of interest have been scalable multicast routing, practical approaches to traffic management, and the design of deployable end-to-end protocols. Current active research areas are Opportunistic Communications, Social Networks, and techniques and algorithms to scale infrastructure-free mobile systems. He leans towards a “build and learn” paradigm for research. He graduated in Physics from Trinity College, University of Cambridge in 1979, gained an MSc in Computing in 1981 and PhD in 1993, both from UCL. He is a Fellow at the Royal Society, a Fellow of the ACM, a Fellow of the British Computer Society, a Fellow of the IET and the Royal Academy of Engineering, Fellow of the IEEE and Faculty Fellow at The Alan Turing Institute. He enjoys teaching and has published several books based on learning materials.
 

More Information:

For more info contact:  Professor Marco Canini: email: marco@kaust.edu.sa
 
Date: Monday 20th Feb 2017
Time:12:00 PM - 01:00 PM
Location: Building 9, Lecture Hall I Room 2322
Refreshments: Brown-bag lunch will be available at 11:45 am