PPT-Hadoop Distributed File System

by Swathi Vangala Overview Distributed File System History of HDFS What is HDFS HDFS Architecture File commands Demonstration Distributed File System Hold a large amount of data . Origins & Applications. Christopher Smith. Xavier Stevens. John Carnahan. Original Map & Reduce. LISP. map f(x) [x. 0. , x. 1. , …, x. n. ]. yields: [f(x. 0. ), f(x. 1. ), …, f(x. n. )]. reduce f(x, y) [x. Priya Bhat, Yonggang Liu, Jing Qin. Content. 1. . Ceph. Architecture. 2. . Ceph. Components. 3. . Performance Evaluation. 4. . Ceph. Demo. 5. Conclusion. Ceph Architecture. What is Ceph?. Ceph is a distributed file system that provides excellent performance, scalability and reliability.. from . Leslie . Lamport. Who is he?. Leslie . Lamport. (born February 7, 1941 in New York City) is an American computer scientist. . Lamport. is best known for his seminal work in distributed systems and as the initial developer of the document preparation system . Trend Micro. Cloud Computing Era (Practice). Three Major Trends to . C. hang the World. Cloud Computing. Mobile. Big Data. 什麼是雲端運算？. 以服務. (as-a-service). 的商業模式，透過. Advanced Operating System. Zhuoli. Lin. Professor Zhang. Outline. Semantics of File Sharing. File Locking. Sharing File in Coda. Future Work. Semantics of File Sharing. When two or more users share the same file at the same time, it is necessary to define the semantics of reading and writing precisely to avoid problems.. a.k.a. OrangeFS. By Collin Gordon and Lisa Kosiachenko. 1. What is PVFS?. 2. Background information. PVFS - parallel, distributed filesystem for Linux clusters. Used in High-Performance Computing at large scale (while Hadoop is primarily used in cloud computing). . in Big Data . and Analytics. Introduction to . Hadoop. Eco-System. Agenda. In this session, you will learn about:. . What is Hadoop. ?. Why Hadoop?. Advantages of Hadoop?. History of . Hadoop. Key Characteristics of . Introduction. Hadoop and Spark Comparison. From Hadoop to Spark. Webinar Objectives. Intro: what is Hadoop and what is Spark?. Spark's capabilities . and . advantages vs Hadoop. From Hadoop to Spark – how to?. Group ID: 4. Baolin Wu, . Liushan. Yang, . Pengyu. . Ji. Motivation & Goals. Distributed File System provides more reliable service.. Cloud Storage Service is very popular. Google Cloud Storage, Dropbox, Amazon SC3 have many users.. May 23. nd. . 2012. Matt Mead, Cloudera. Hadoop Distributed File System (HDFS). Self-Healing, High Bandwidth Clustered Storage. MapReduce. Distributed Computing Framework. Apache Hadoop. is an open source platform for data storage and processing that is…. Konstantin . Shvachko. , . Hairong. . Kuang. , Sanjay . Radia. , Robert . Chansler. Yahoo!. Sunnyvale, California USA. Presented . by . Ying Yang. 9/24/2012. Outline . Introduction. Architecture. . Cheng, Wen . Cipolli, William . Fan, . Xiaochuan. . Zhou,Jun. Dec 3. Han. , . Shizhong. . Hou. , . Peijie. . Lane, Bryan J. . Lin, . Yuewei. . Liu, Ping . Dec 5. Mahalingam. , Sanjay Kumar . Meagher, Kenneth M. . and Use Cases for Data Analysis. Afzal Godil. Information Access Division, ITL, NIST. Outline. Growth of big datasets. I. ntroduction to Apache . Hadoop. and Spark for developing applications . Components of Hadoop, HDFS, MapReduce and . MapReduce and . Hadoop. Distributed File System. B.Ramamurthy & K.Madurai. 1. Contact:. Dr. Bina Ramamurthy. CSE Department. University at Buffalo (SUNY) . bina@buffalo.edu . http://www.cse.buffalo.edu/faculty/bina.