PPT-High-Level Abstractions for Programming Software Defined Ne

Joint with Nate Foster David Walker Arjun Guha Rob Harrison Chris Monsanto Joshua Reich Mark Reitblatt Cole Schlesinger Jennifer Rexford Princeton University http wwwcsprincetonedu. 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 Matei Zaharia, . Benjamin . Hindman. , Andy . Konwinski. , Ali . Ghodsi. , Anthony Joseph, Randy Katz, Scott . Shenker. , Ion . Stoica. Background. Clusters of commodity servers . have become a . major computing . 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 . 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. Watercolor Paint - Abstractions. Watercolor Paint – Non-Representational. Pastel Abstractions. 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. 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. 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%. Chapter 1 — Computer Abstractions and Technology — . 2. Classes of Computers. Personal computers. General purpose, variety of software. Subject to cost/performance tradeoff. Server computers. Network based. CSE 332 Data Abstractions: A Heterozygous Forest of AVL, Splay, and B Trees Kate Deibel Summer 2012 July 2, 2012 CSE 332 Data Abstractions, Summer 2012 1 From last time… Binary search trees can give us great performance due to providing a structured binary search. 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 6: Dictionaries; Binary Search Trees. Dan Grossman. Spring 2010. Where we are. Studying the absolutely essential ADTs of computer science and classic data structures for implementing them. ADTs so far:. With SDN, new vulnerabilities open up in the form of malware, ransomware and viral worms due to direct Internet access. This direct Internet access does not fall under the existing network security. 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.