PPT-Jennifer Rexford Princeton
Author : webraph | Published Date : 2020-06-16
University MW 1100am1220pm ControlPlane Scalability COS 597E Software Defined Networking Controller Scalability Challenges Number of switches Number of control sessions
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Jennifer Rexford Princeton: Transcript
University MW 1100am1220pm ControlPlane Scalability COS 597E Software Defined Networking Controller Scalability Challenges Number of switches Number of control sessions Frequency of events. Our gen erative model is an node multilayer network that has degree at most for some 947 and each edge has a random edge weight in 1 Our algorithm learns almost all networks in this class with polynomial running time The sample complexity is quadra princetonedu Abstract In recent years many shape representations and geomet ric algorithms have been proposed for matching 3D shapes Usually each algorithm is tested on a different small database of 3D models and thus no direct comparison is availabl August AUGUST PRINCETON EDU Department of Computer Science Princeton University Princeton NJ 08540 USA Abstract To meet the performance demands of modern architectures compilers incorporate an ever increasing number of aggressive code transformation Freedman and Jennifer Rexford Dept of Computer Science Princeton University Princeton New Jersey USA pengsun minlanyu mfreed jrexcsprincetonedu ABSTRACT Content distribution networks CDNs need to make deci sions such as server selection and routing Frenetic Language for OpenFlow Networks Jennifer Rexford Princeton University http://www.frenetic - lang.org/ Joint work with Nate Foster, Dave Walker, Rob Harrison, Michael Freedman, Chris Monsanto, Princeton . University. MW 11:00am-12:20pm. Programmable Data Planes. COS 597E: Software Defined Networking. Data Plane. Streaming algorithms that act on packets. Matching on some bits, taking a simple action. Princeton University. MW 11:00am-12:20pm. Wide-Area Traffic Management. COS 597E: Software Defined Networking. Traffic Management. Assigning resources to traffic. Optimize some objective . Min congestion, max utility, min delay, …. Measurement is Here to Stay. Traffic engineering. Traffic matrix. Available bandwidth on each path. Distribution of queue lengths. Service-level agreements. At most 0.5% lost or out-of-order . packets. Fall 2017 (. TTh. 1:30-2:50 in CS 105). COS 561: Advanced Computer Networks. http://. www.cs.princeton.edu. /courses/archive/fall17/cos561/. Software-Defined Networking (SDN). 2. Controller Platform. MW 11:00am-12:20pm. Logically-Centralized Control. COS 597E: Software Defined Networking. Software Defined Networking. 2. decouple . c. ontrol . and . data . p. lanes. by . p. roviding . o. pen . s. tandard . University. MW 11:00am-12:20pm. Measurement. COS 597E: Software Defined Networking. Measurement vs. Metrics. 2. active . measurements. packet and flow. measurements,. l. ink load. topology, . configuration,. Fall 2018 (. TTh. 1:30-2:50 in Friend 006). COS 561: Advanced Computer Networks. http://. www.cs.princeton.edu. /courses/archive/fall18/cos561/. Traditional Division of Labor. Management. : policy. Measurement and configuration of switches. Fall 2018 (. TTh. 1:30-2:50 in Friend 006). COS 561: Advanced Computer Networks. http://. www.cs.princeton.edu. /courses/archive/fall18/cos561/. Traditional Division of Labor. Management. : policy. Measurement and configuration of switches. University. MW 11:00am-12:20pm. Data-Center Traffic Management. COS 597E: Software Defined Networking. Cloud Computing. 2. Cloud Computing. Elastic resources. Expand and contract resources. Pay-per-use.
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