PPT-Graph Processing

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 . 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. -. 600.466. Social Media?. Properties of Social Media : Scale. Twitter (Chirp 2010). More than 100M user accounts. more than 600M search queries a day. 55M tweets a day. Facebook. More than 400M active users. 2009-10-22. Jaeseok. . Myung. Summary. TA. DB : project 3, midterm(24. 명 응시. ). WEC : report, project (android), classroom, . 수업. (. 정재목 이사. ). Research. DESWeb. 2010. 1. st. International Workshop on Data Engineering meets the Semantic Web in conjunction with ICDE 2010. Modeling of . Graph-Structured. Data . … and … . Images. 1. Michael Elad. The Computer Science Department . The Technion . T. he . research leading . to these results . Modern Cloud Systems. Muntasir Raihan Rahman. 1. Final Examination. Modern Cloud Systems. NoSQL/KV stores. Graph processing. Disaster recovery. COST-PERFORMANCE TRADE-OFFS!. System. Class. Cost. Performance. Farzad Khorasani. , . Rajiv Gupta. , . Laxmi. N. . Bhuyan. University of California Riverside. Scalable SIMD-Efficient Graph Processing on GPUs. Graph Processing. Building blocks of data analytics.. SpatialHadoop. Type: Research Paper (Experimental evaluation). Authors: Ahmed . Eldawy. , . Louai. . Alarabi. , Mohamed F. . Mokbel. Presented by: Siddhant Kulkarni. Term: Fall 2015. Motivation. Hao Wei. 1. , . Jeffrey Xu Yu. 1. , Can L. u. 1. , . Xuemin. Lin. 2. . 1 . The . Chinese University of Hong Kong, Hong Kong. 2 . The . University of New South Wales. , . Sydney, Australia. Graph in Big Data . 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. +. Andrea . Bertozzi. University of California, Los Angeles. Diffuse interface methods. Ginzburg-Landau functional. Total variation. W is a double well potential with two minima. Total variation measures length of boundary between two constant regions.. Stijn Eyerman, Wim Heirman, Ibrahim Hur, Joshua B. Fryman. 2. DARPA HIVE project. “To build a graph analytics processor that can process streaming graphs 1000X faster and at much lower power than current processing technology”. Jeffrey . Xu. Yu (. 于旭. ). Department of Systems Engineering and Engineering Management. The Chinese University of Hong Kong. yu@se.cuhk.edu.hk. Books on Social Networks. Social and Economic Networks. 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 .