PPT-Programming Abstractions for Software-Defined Networks
Author : tatyana-admore | Published Date : 2017-08-06
Jennifer Rexford Princeton University SoftwareDefined Networking Can program the network Networkwide visibility Direct control over the switches Simple dataplane
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Programming Abstractions for Software-Defined Networks: Transcript
Jennifer Rexford Princeton University SoftwareDefined Networking Can program the network Networkwide visibility Direct control over the switches Simple dataplane abstraction But does not. All Programmable Abstractions push beyond traditional RTL design methodologies to automate all aspects of system development and algorithm deployment into all programmable FPGAs SoC and 3D ICs Xilinx and its Alliance members are working together to Introduction Softwarede64257ned networking SDN has received a lot of attention in recent years as a means of addressing some of the longstanding challenges in networking SDN starts from two simple ideas i generalize network hardware so it provide History, Hype, and Hope. Scott Shenker. with . Martín . Casado. , . Teemu. . Koponen. , Nick . McKeown. (and many others….). Caveat . Audiens. I have a . startup in . area (. Nicira. ). Feel free to regard everything I am saying as the self-serving comments of a greedy, lying entrepreneur…. COMS 6998-. 8. , Fall 2013. Instructor: Li . Erran. Li (. lierranli@cs.columbia.edu. ). http://www.cs.columbia.edu/. ~lierranli/coms6998-8SDNFall2013/. 9. /24/2013: SDN Programming Language. Outline. 6/16/2010. Parallel Programming Abstractions. 1. Tasks . vs. Threads. Similar but not the same.. 6/16/2010. Parallel Programming Abstractions. 2. h/w processors. Operating System. T. hreads. Task Scheduler. 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. Disjoint Set Union-Find . and . Minimum Spanning Trees. Kate Deibel. Summer 2012. August 13, 2012. CSE 332 Data Abstractions, Summer 2012. 1. Making Connections. You have a set of nodes (numbered 1-9) on a network. . Steve Oakley. Enterprise Solutions Consultant - Dell. September 2015. Change:. The only constant. 2009. 2014. The future. Internet users worldwide. Tweets per day. Size of the. digital universe. 25%. Software Defined Networking Market report provides the future growth trend of the market based on in-depth research by industry experts.The global and regional market share along with market drivers and restraints are covered in the report. View MOre @ https://www.valuemarketresearch.com/report/software-defined-networking-sdn-market Lecture 19: Analysis of Fork-Join Parallel Programs. Dan Grossman. Spring 2010. Where are we. Done:. How to use . fork. , and . join. to write a parallel algorithm. Why using divide-and-conquer with lots of small tasks is best. Lecture 9: B Trees. Dan Grossman. Spring 2010. Our goal. Problem: A dictionary with so much data most of it is on disk. Desire: A balanced tree (logarithmic height) that is even shallower than AVL trees so that we can minimize disk accesses and exploit disk-block size. Dictionary ADT. : Arrays, Lists and . Trees. Kate Deibel. Summer 2012. June 27, 2012. CSE 332 Data Abstractions, Summer 2012. 1. Where We Are. Studying the absolutely essential ADTs of computer science and classic data structures for implementing them. kindly visit us at www.examsdump.com. Prepare your certification exams with real time Certification Questions & Answers verified by experienced professionals! We make your certification journey easier as we provide you learning materials to help you to pass your exams from the first try. Professionally researched by Certified Trainers,our preparation materials contribute to industryshighest-99.6% pass rate among our customers. OpenFlow and Frenetic. Mohamed Ismail. Background. Problem:. Programming Networks is Hard. 3. /39. Network Stack Pros. Key to the success of the Internet. Layers . and layers of abstraction. Independent .
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