PPT-Redundancy Elimination As A Network-Wide Service

Aditya Akella UWMadison Shuchi Chawla Ashok Anand Chitra Muthukrishnan UWMadison Srinivasan Seshan Vyas Sekar CMU Ram Ramjee MSRIndia Scott Shenker UCBerkeley. Understanding High Availability. Components of High Availability. The objective of high availability is to prevent outages and minimize downtime.. Achieving high availability integrates multiple components:. -ing. Content Overhearing to Improve Wireless Performance. Shan-Hsiang . Shen. Aaron Gember. Ashok . Anand. Aditya Akella. abc. abc. 1d. ab. ab. 1. Improve Wireless Performance. Focus. on . t. hroughput. The Implications of Universal Redundant Traffic Elimination. Ashok . Anand. , . Archit. Gupta, . Aditya. . Akella. University of Wisconsin, Madison. Srinivasan. . Seshan. Carnegie Mellon University. Aditya Akella. UW-Madison. Growing traffic vs. network performance. Network traffic volumes growing rapidly. Annual growth: overall (45%), enterprise (50%), data center (125%), mobile (125%)*. Growing strain on installed capacity everywhere. Rosalie Cattermole, Senior Associate. Claire Tuffield, Solicitor . Definition . Redundancy. Redundancy occurs when an employer no longer requires . anyone to perform a particular job. due to changes in the . Ashok Anand. . Ramachandran. . Ramjee. . Chitra. . Muthukrishnan. . Microsoft Research Lab, India. . Aditya. . Akella. University of Wisconsin, Madison. Redundancy in network traffic. Kien. A. Hua, Jason . Kuhns. , . Ning. Jiang, . Vaithiyanathan. . Sundaram. *. *Alphabetical order. 1. Contacts in the order of names:. kienhua06@gmail.com. . jason.kuhns@ucf.edu. jiangbuf@hotmail.com. Via. Clause Redundancy. Eugene . Goldberg, Pete Manolios. Northeastern University, USA . FMCAD-2013, October 20-23, . Portland, OR, USA. Outline. Introduction. Clause . D-. sequents . Example. Experimental results. Graph-Based Perspective. Probabilistic. Graphical. Models. Inference. Initial Graph. C. D. I. S. G. L. J. H. D. C. D. I. S. G. L. J. H. D. Elimination as Graph Operation. Eliminate: C. C. D. I. S. G. Ashok Anand. . Ramachandran. . Ramjee. . Chitra. . Muthukrishnan. . Microsoft Research Lab, India. . Aditya. . Akella. University of Wisconsin, Madison. Redundancy in network traffic. The Implications of Universal Redundant Traffic Elimination. Ashok . Anand. , . Archit. Gupta, . Aditya. . Akella. University of Wisconsin, Madison. Srinivasan. . Seshan. Carnegie Mellon University. Te. -Yuan Huang, . Kuan. -Ta Chen, Polly Huang . Proceedings of the IEEE . Infocom. . Conference. Rio . de . Janiero. , Brazil, April 2009. Motivation. Voice traffic is . sensitive . to network impairment. Scaling Networks. Chapter 2. 2. .0 Introduction. 2. .1 Spanning Tree Concepts. 2. .2 Varieties of Spanning Tree Protocols. 2. .3 Spanning Tree Configuration. 2. .4 First-Hop Redundancy Protocols. Superspreaders. . Lu Tang. †. . , . Qun. Huang. ‡. , and Patrick P. C. Lee. †. † . The Chinese University of Hong Kong. ‡ . Institute of Computing Technology, CAS. IEEE INFOCOM 2020. 1.