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	<h1 class="post-title">Speaker</h1>
			
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			<h3><b>Nick Feamster</b></h3>
			<h4>Associate Professor, Georgia Tech, USA





 

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<U><B>EDUCATIONAL BACKGROUND</B></U>
Ph.D., Massachusetts Institute of Technology, Computer Science, 2005<br>		
M.Eng., Massachusetts Institute of Technology, Computer Science, 2001<br>		
S.B., Massachusetts Institute of Technology, Electrical Engineering and Computer Science, 2000<br>		
<U><B>EMPLOYMENT HISTORY</B></U><br>		
Associate Professor, Georgia Institute of Technology, March 2011 Present<br>		
Associate Professor, University of Maryland College Park, August 2012 December 2012<br>		
Assistant Professor, Georgia Institute of Technology, 2006 2011<br>		
Postdoctoral Research Staff, Princeton University, Fall 2005<br>		
Research Assistant, Massachusetts Institute of Technology, 2000 2005<br>		
<U><B>CURRENT FIELDS OF INTEREST</B></U><br>		
My research focuses on networked computer systems, with a strong emphasis on network architecture and protocol design; network security, management, and measurement; routing;and anti-censorship techniques. The primary goal of my research is to help network operators run their networks better, and to enable users of these networks (both public and private) to experience high availability and good end-to-end performance.  I have a strong interest in tackling practical problems using a  
ûrst principles  approach, designing systems based on these principles, and implementing and deploying these systems in practice.


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				<p><strong>Title</strong>: SDN Abstractions for Network Management</p>
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					<strong>Abstract:</strong><br />
					<p style="text-align:justify;">Operators make hundreds of changes to a network's router and switch configurations every day---a painstaking, error-prone process.  If the network configuration could instead encode different forwarding behavior for different network states {\em a priori}, a network controller could automatically alter forwarding behavior when conditions change.  To enable this capability, we introduce {\em state-based network policies}, which describe how a network's
forwarding behavior should change in response to arbitrary network events.  A state-based network policy comprises many {\em tasks}, each of which encodes the forwarding behavior for a single network management operation (\eg, intrusion detection) or part of the network (\eg, a sub-organization), and how that behavior should change when network conditions change.  Composing these policies produces a network-wide control program that adapts to different operating conditions.  We implement state-based network policies in a system called \system{} and demonstrate with real-world examples and use cases that \system{} is
expressive enough to specify a wide range of network policies and simple enough for many operators to use.  Our evaluation based on event traces from the Georgia Tech campus network shows that \system{} can achieve good performance in operational settings.

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