PPT-Beating CountSketch for Heavy Hitters in Insertion Streams
Author : danika-pritchard | Published Date : 2016-08-15
Vladimir Braverman JHU Stephen R Chestnut ETH Nikita Ivkin JHU David P Woodruff IBM Streaming Model Stream of elements a 1 a m in n 1 n
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Beating CountSketch for Heavy Hitters in Insertion Streams: Transcript
Vladimir Braverman JHU Stephen R Chestnut ETH Nikita Ivkin JHU David P Woodruff IBM Streaming Model Stream of elements a 1 a m in n 1 n. Yehuda. . Afek. Anat. . Bremler. -Barr. . Shir. Landau . Feibish. This work is part of the . Kabarnit. –Cyber Consortium (2012-2014) under Magnet program, funded by the chief scientist in the Israeli ministry of Industry, Trade and Labor. . Aisling Cleary . Traditional Heart Transplants. First heart transplant = performed in 1967. Today 3,800 performed worldwide per year . Traditionally transported in cooler on ice. Picture of first heart transplant in 1967. David Woodruff . IBM . Almaden. Based on works with Vladimir . Braverman. , Stephen R. Chestnut Nikita . Ivkin. , Jelani Nelson, and . Zhengyu. Wang. Streaming Model. Stream of elements a. 1. , …, a. David Woodruff . IBM . Almaden. J. oint works with Arnab Bhattacharyya, Vladimir . Braverman. , Stephen R. Chestnut, . Palash. . Dey. Nikita . Ivkin. , Jelani Nelson, and . Zhengyu. Wang. Streaming Model. Vibhaalakshmi Sivaraman. Srinivas Narayana, Ori . RottenSTREICH. , MUTHU . MuthuKRSISHNAN. , JENNIFER REXFORD. 1. Heavy Hitter Flows. Flows above a certain threshold of total packets. “Top-. k. ” flows by size. Revere . .294. Span . .283. Doumit. . .275. Carroll . .268. Top Pitchers. Pitcher Wins Losses ERA. Diamond 12 9 3.54. Deduno. 6 5 4.44. Gray 6 1 5.71. Top Hitters. Player Average. Mauer. .. 319. Revere .. David Woodruff . IBM . Almaden. Based on works with Vladimir . Braverman. , Stephen R. Chestnut Nikita . Ivkin. , Jelani Nelson, and . Zhengyu. Wang. Streaming Model. Stream of elements a. 1. , …, a. David Woodruff . IBM . Almaden. J. oint works with Arnab Bhattacharyya, Vladimir . Braverman. , Stephen R. Chestnut, . Palash. . Dey. Nikita . Ivkin. , Jelani Nelson, and . Zhengyu. Wang. Streaming Model. David Woodruff . IBM . Almaden. J. oint works with Arnab Bhattacharyya, Vladimir . Braverman. , Stephen R. Chestnut, . Palash. . Dey. Nikita . Ivkin. , Jelani Nelson, and . Zhengyu. Wang. Streaming Model. David Woodruff . IBM . Almaden. Based on works with Vladimir . Braverman. , Stephen R. Chestnut Nikita . Ivkin. , Jelani Nelson, and . Zhengyu. Wang. Streaming Model. Stream of elements a. 1. , …, a. Vibhaalakshmi Sivaraman. Srinivas Narayana, Ori . RottenSTREICH. , MUTHU . MuthuKRSISHNAN. , JENNIFER REXFORD. 1. Heavy Hitter Flows. Flows above a certain threshold of total packets. “Top-. k. ” flows by size. Xiaoming. Sun and David P. Woodruff. Chinese Academy of Sciences and IBM Research-. Almaden. Streaming Models. Long sequence of items appear one-by-one. numbers, points, edges, …. (usually) . adversarially. Stream Estimation 1: Count-Min Sketch Contd.. Input data element enter one after another (i.e., in a stream ). Cannot store the entire stream accessibly How do you make critical calculations about the stream using a limited amount of memory? Why Social Graphs Are Different. Communities. Finding Triangles. Jeffrey D. Ullman. Stanford University/. Infolab. Social Graphs. Graphs can be either directed or undirected.. Example. : The Facebook “friends” graph (undirected)..
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