PPT-Massively Distributed Database Systems

Spring 2015 Ki Joune Li httpiselcspusanackrlik Pusan National University An assignment Choose an electronic or electric device Define additional functions with data storage. Access to resources of various machines is done explicitly by Remote logging into the appropriate remote machine Transferring data from remote machines to local machines via the File Transfer Protocol FTP mechanism Tightly Coupled Distributed System Spring 2009. L-1 Introduction. 1. Today's Lecture. Administrivia. Example topics. 2. 3. Instructors. Instructor. Srini. Seshan. srini@cmu.edu. , Wean Hall . 8113. Office hours: Thursday 1-2pm. Teaching . S. Sudarshan. IIT Bombay. Derived from an earlier talk by S. . Sudarshan, presented . at the. MSRI Summer School on Distributed Systems, May/June 2012. Why Distributed Data Storage a.k.a. Cloud Storage. Sig Freund. CSC 8320 Fall . 2008. rfreund1@student.gsu.edu. Transparency in Distributed Operating Systems. Evolution of Modern Operating Systems. Centralized operating system. +network access and resource sharing. Chapter 1. The Worlds of Database Systems. Section 1.1 . Evolution of Database Systems . The DBMS is expected to :. 1 . Allow users to create new databases and specify their schemas ( logical structure of the data ) , using a specialized data - definition language.. built . on Virtual Private . Servers. . e-Science for . cheminformatics. and drug discovery. 4th IEEE International Conference on e-Science 2008. Kangseok. Kim, Marlon E. Pierce. Community Grids Laboratory, Indiana University. Management System . Presented by. Jayesh Kawli. Introduction. D. istributed . database system . with . combination . of technologies from . Amazon Dynamo and Google . BigTable . S. Sudarshan. IIT Bombay. Derived from an earlier talk by S. . Sudarshan, presented . at the. MSRI Summer School on Distributed Systems, May/June 2012. Why Distributed Data Storage a.k.a. Cloud Storage. Sig Freund. CSC 8320 Fall . 2008. rfreund1@student.gsu.edu. Transparency in Distributed Operating Systems. Evolution of Modern Operating Systems. Centralized operating system. network access and resource sharing. Yan Cui. ITK478. Position paper. Issues in enterprises. “…. organizations merge or takeover since the existing systems have been designed for different corporate needs, the resulting enterprise will have to face information inconsistency, heterogeneity and incompatible overlap”. . What is Big Data?. https://www.youtube.com/watch?v=c4BwefH5Ve8. Employee-generated data. User-generated data. Machine-generated data. Big Data Analytics: 11 Case Histories and Success Stories. https://www.youtube.com/watch?annotation_id=annotation_3535169775&feature=iv&src_vid=c4BwefH5Ve8&v=t4wtzIuoY0w. © . 2013 . Pearson Education, Inc.  Publishing as Prentice Hall. 1. Modern Database Management. 11. th. Edition. Jeffrey A. Hoffer, V. Ramesh, . Heikki Topi. . Objectives. Define terms. Explain business conditions driving distributed databases. Prof. Nalini . Venkatasubramanian. . &. Prof. Yusuf . Sarwar. Dept. of Information & Computer Science. University of California, Irvine. Intro to Distributed Systems Middleware. 2. CS 237/. NetSys. Papadakis Harris. Dept. of Engineering Informatics. ΤΕΙ . of Crete. Client/Server Paradigm. Basic idea: to structure the system as a set of collaborating processes. Servers (or servers) that offer their services.