PPT-Controller-Oblivious Dynamic Access Control in Software-Defined Networks

Steven R Gomez Samuel Jero Richard Skowyra Jason Martin Patrick Sullivan David Bigelow Zachary Ellenbogen Bryan C Ward Hamed Okhravi James W Landry DISTRIBUTION STATEMENT A Approved for public release distribution unlimited This material is based upon work supported by the Department of Defense under Air Force Contract No FA872105C0002 andor FA870215D0001 Any opinions findings conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the Department of Defense. COMS 6998-. 8. , Fall 2013. Instructor: Li . Erran. Li (. lierranli@cs.columbia.edu. ). http://www.cs.columbia.edu/. ~lierranli/coms6998-8SDNFall2013/. 9. /17/2013: SDN Scalability. Outline. Juniper & Comcast SDN competition. Defined . Networks (SDN). . Windhya. . Rankothge. Universitat. . Pompeu. . Fabra. . Outline. Introduction to . Software Defined Networks (SDN) . The . OpenFlow. Project. SDN Architecture. COMS 6998. -10, . Fall . 2014. Instructor: Li Erran Li (. lierranli@cs.columbia.edu. ). http://www.cs.columbia.edu/~lierranli/coms6998-10SDNFall2014/. 11/. 24/. 2014: SDN . Middleboxes. . and. NFV. COMS 6998-10, Fall 2014. Instructor: Li . Erran. Li (. lierranli@cs.columbia.edu. ). http://www.cs.columbia.edu/. ~lierranli/coms6998-10SDNFall2014/. 9. /22/2014: SDN Scalability. Outline. Homework 1 due Oct 1. Hengky “Hank” Susanto. , Sing Lab, HKUST. Outline. Introduction.. What is Software-Defined Network?. OpenFlow. .. Research Problems in SDN.. Once Upon a Time. “AT&T Eyes Flexibility, Cost Savings With New Network Design”, Wall Street journal, 2014.. Jennifer Rexford. Princeton University. Software-Defined Networking. Can program the network. Network-wide visibility. Direct control over the switches. Simple data-plane abstraction. But, does . not. Jennifer Rexford, Princeton University. http://frenetic-. lang.org. SDN Makes it Possible to Program the Network. Network . virtualization. User mobility and VM migration. Server load balancing. Dynamic access control. Mooly. . Sagiv. msagiv@acm.org. 03-640-7606. Tel Aviv University. Thursday . 16-18 (Physics . 105). Monday 14-16 . Schrieber. 317. Adviser: Michael . Shapira. Hebrew University. http://www.cs.tau.ac.il/~msagiv/courses/rsdn.html. Hakim Weatherspoon. Associate Professor, . Dept. of Computer Science. CS 5413: High Performance Computing and Networking. March 20, 2017. Slides taken liberally from Jennifer Rexford’s Computer Networks, COS 461 http. Hakim Weatherspoon. Associate Professor, . Dept. of Computer Science. CS 5413: High Performance Computing and Networking. March 20, 2017. Slides taken liberally from Jennifer Rexford’s Computer Networks, COS 461 http. Lecture#1. Introduction. Introduction. Traditional IP networks are . Complex and hard to manage . [1]. Network operator need to configure each individual network device separately using low-level and often vendor-specific commands. Xin . Jin. Committee: Jennifer Rexford (advisor),. David Walker, . Ratul. Mahajan, Nick . Feamster. , . Aarti. Gupta. Traditional network. 1. Network. Control. Control. Control. Control. Control. Coupled data plane (switch hardware) and control plane (switch software). Software Defined Networks . 1. By:. Saleh. . Asadollahi. &. Dr. . Bhargavi. . Goswami. asadollahimcitp@gmail.com. bhargavihgowsami@gmail.com. Experimenting with Scalability of Floodlight Controller in. | | PC Control 02 | 2017 | The core of the Xesa motion simulator is a parallel kinematic machine built on a hexapod or Stewart platform. It has up to six degrees of freedom (three transla-tory and thr