PPT-Graph Processing

Author : myesha-ticknor | Published Date : 2016-04-29

Recap dataintensive cloud computing Just database management on the cloud But scaling it to thousands of nodes Handling partial failures gracefully Sacrificing strong

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Graph Processing: Transcript


Recap dataintensive cloud computing Just database management on the cloud But scaling it to thousands of nodes Handling partial failures gracefully Sacrificing strong ACID Graph processing frameworks . 10 11 Graph Search Methods Many graph problems solved using a search method Path from one vertex to another Is the graph connected Find a spanning tree Etc Commonly used search methods Breadthfirst search Depthfirst search BreadthFirst Search Visit Anand Tripathi, Vinit Padhye, . Tara Sasank Sunkara. Department of Computer Science. University of Minnesota. . Presentation by . Tara Sasank Sunkara. eBay Inc.. Acknowledgements:. This work was partly supported by NSF award 1319333. Based on. http://www.cs.engr.uky.edu/~. lewis/cs-heuristic/text/integer/linprog.html. The . bipartite graph matching problem.  is to find a set of unconnected edges which cover as many of the vertices as possible. If we select the set of edges. P. artitioning. a. nd. . Clustering for. Community . Detection. . Presented By: Group One. 1. Outline. Introduction:  . Hong . Hande. Graph Partitioning: . Muthu. Kumar . C . and . Xie . Shudong. Adapted from UMD Jimmy Lin’s slides, which . is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 United . States. See . http://. creativecommons.org. /licenses/by-. nc. -. Outline. Graph and fuzzy graph. Characteristics of fuzzy relations. Types of fuzzy relations. Graph and fuzzy graph. Graph. Graph and fuzzy graph. Fuzzy graph. ~. V : . is fuzzy node. ~. Graph and fuzzy graph. Hamid. . Alaei. (Vertex) Coloring of a graph . G = (V,E) . is a map function . c. . : V → C. C. : set of colors. for every edge . vw. ∈ E: c(v) ≠ c(w). .. chromatic number . χ(G). is the minimal number of colors needed in a coloring of . Arijit Khan, . Yinghui. Wu, Xifeng Yan. Department of Computer Science. University of California, Santa Barbara. {. arijitkhan. , . yinghui. , . xyan. }@. cs.ucsb.edu. Graph Data. 2. Graphs are everywhere.. Using graph theory to solve games and problems. Dr. Carrie Wright. University of Arizona. Teacher’s Circle. November 17, 2011. BRIDGES OF KONIGSBERG. In Konigsberg, East Prussia, a river runs through the city such that in its center is an island, and after passing the island, the river broke into two parts. Seven bridges were built so that the people of the city could get from one part to another. . Chapter 5.6. Review: Zeros of Quadratic Functions. In the previous chapter, you learned several methods for solving quadratic equations. If, rather than a quadratic equation . , we think about the function . William Cohen. 1. Announcements. Next Tuesday 12/8:. Presentations for 10-805 projects.. 15 minutes per. project.. Final written reports due Tues 12/15. 2. Graph-Based Parallel Computing. William Cohen. . with Distributed Immutable View. Rong Chen. +. , . Xin. Ding. +. , . Peng. Wang. +. , Haibo Chen. +. , . Binyu . Zang. +. and Haibing Guan. *. Institute of Parallel and Distributed Systems. +. Arizona Corporation Commission Additional time above and beyond the processing time may be required for returning examined documents to customers The Problem . Large Graphs are often part of computations required in modern systems (Social networks and Web graphs etc.). There are many . graph . computing problems like shortest path, clustering, page rank, minimum cut, connected components .

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