PPT-Hybrid MapReduce Workflow

Yang Ruan Zhenhua Guo Yuduo Zhou Judy Qiu Geoffrey Fox Indiana University US Outline Introduction and Background MapReduce Iterative MapReduce Distributed Workflow Management Systems. Abert. . Plà. eXiT. – University of . Girona. Advisors: Beatriz . López. & Javier Murillo. 1. LIP6 . Seminar. – . Université. Pierre et Marie . Curie. Paris VI (12-2-2012). eXiT: Control Engineering and Intelligent Systems. Reversals and Lessons Learned. Bruno . Fernandes. . Bastos. Regina Maria . Maciel. Braga. Antônio. . Tadeu. . Azevedo. Gomes. 1. Agenda. Introduction. Problem Formulation and Initial Hypothesis. , Collective Communication, and Services. Oral Exam, . Bingjing. Zhang. Outline. MapReduce. MapReduce. Frameworks. Iterative . MapReduce. Frameworks. Frameworks Based on . MapReduce. and Alternatives. Simplified Data Processing on Large . Clusters. by Jeffrey Dean and Sanjay . Ghemawa. Presented by Jon Logan. Outline. Problem Statement / Motivation. An Example Program. MapReduce. . vs. Hadoop. GFS / HDFS. Status and Actions. Workflow is a collection of steps to move content to different states based on available actions. Status: refers to the state of a document. Action: refers to a movement of a document in the workflow. Harinarayan. Krishnan, . CA. librated. and . S. ystematic . C. haracterization, . A. ttribution, and . D. etection of . E. xtremes . (CASCADE Team). Kevin . Bensema. , . Surendra. . Byna. , . Soyoung. Parallel Computing. MapReduce. Examples. Parallel Efficiency. Assignment. Parallel Computing. Parallel efficiency with . p. processors. Traditional parallel computing:. focus on compute intensive tasks. Vasa Curcin. Department of Computing. Imperial College London. Scientific workflow field. Scientific workflows. : a high-level programming language with explicit graphical representation of flow of data and/or control. By . Yufei. Tao, . Wenqing. . Lin, . Xiaokui. . Xia. Edited by Tuval Rotem. First topic:. What is MapReduce. But first…. Regular day at work. You’re doing your regular work while suddenly your boss, . Enhancing flexibility a. nd. . adaptab. i. lity. of . workf. l. ow. management systems by their integration with fuzzy . ontologies. Václav Slavíček. University . of. Hradec Králové. Faculty of Informatics and Management. Presented By. Shefali. . Gundecha. Srinivas . Narne. Yash. Kulkarni. Papers to be discussed…. Y. Shan, B. Wang, J. Yan, Y. Wang, N. Xu, and H. Yang, . " FPMR: MapReduce Framework on FPGA: A Case Study of . Provided By:. The . National Learning Consortium (NLC). Developed By:. Health Information Technology Research Center (HITRC) . Practice and Workflow Redesign Community of Practice. Template Instructions:. Source. MapReduce. : Simplified Data Processing in Large Clusters. . Jefferey. Dean and Sanjay . Ghemawat. . OSDI 2004. Example Scenario. 3. Genome data from roughly . one million users. 125 MB of data per user. MapReduce. Architecture. MapReduce. Internals. MapReduce. Examples. JobTracker. Interface. MapReduce. : A Real World Analogy. Coins Deposit. ?. MapReduce. : A Real World Analogy. Coins Deposit. Coins Counting Machine.