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Viceroy: Scalable Emulation of Butterfly Networks For Distributed Hash Tables

Viceroy: Scalable Emulation of Butterfly Networks For Distributed Hash Tables By: Dahlia Malkhi, Moni Naor & David Ratajzcak Nov. 11, 2003 Presented by Zhenlei Jia Nov. 11, 2004 Acknowledgments Some of the following slides are adapted from the slides created by the authors of the paper

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721 views • 37 slides

Algorithm Analysis (Big O)

Algorithm Analysis (Big O). Complexity. In examining algorithm efficiency we must understand the idea of complexity Space complexity Time Complexity. Space Complexity.

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1.19k views • 26 slides

Approximation Algorithms for Capacitated Set Cover

Approximation Algorithms for Capacitated Set Cover. Ravishankar Krishnaswamy (joint work with Nikhil Bansal and Barna Saha ). Approximating Set Cover. Given m sets, n elements Find minimum cost collection of sets to cover all elements Greedy: ln n approximation

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444 views • 21 slides

CSE332: Data Abstractions Lecture 9: B Trees

CSE332: Data Abstractions 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

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343 views • 21 slides

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Viceroy: Scalable Emulation of Butterfly Networks For Distributed Hash Tables

Algorithm Analysis (Big O)

Approximation Algorithms for Capacitated Set Cover

CSE332: Data Abstractions Lecture 9: B Trees