Overview and Introduction 15-319, spring 2010 1st Lecture, Jan 12th Why take 15-319?Slide Number 3Syllabus: Course PurposeSyllabus: Target AudienceSyllabus: InstructorSyllabus: Course ComponentsSyllabus: Course ComponentsSyllabus: Course ComponentsSyllabus: Course ComponentsSyllabus: Course ComponentsSyllabus: Course ComponentsSyllabus: Text BooksSyllabus: ProjectsSyllabus: ExamSyllabus: GradingFinal ThoughtsWhat Computing Paradigms Are There? Existing Computing ParadigmsExisting Computing ParadigmsPersonal ComputingExisting Computing ParadigmsReconfigurable ComputingExisting Computing ParadigmsAutonomic ComputingExisting Computing ParadigmsMobile ComputingExisting Computing ParadigmsUtility ComputingExisting Computing ParadigmsExisting Computing Paradigms - Blue GroupBlue GroupBlue GroupWhat is Parallel ComputingSlide Number 35Blue GroupBlue GroupExisting Computing ParadigmsExisting Computing Paradigms - Green GroupGreen GroupExisting Computing ParadigmsExisting Computing ParadigmsExisting Computing ParadigmsThink of it this way …Think of it this way …Think of it this way … Cloud ComputingCloud Computing ServicesInteresting VideosCarnegie MellonSpring 2010 ©15-319 Introduction to Cloud ComputingIntroduction to Cloud ComputingMajd F. SakrOverview and Introduction 15‐319, spring 2010 1st Lecture, Jan 12thCarnegie MellonSpring 2010 ©15-319 Introduction to Cloud Computing2Why take 15‐319? Because you’re cool! Because we’re cool! Gain real world experience and learn new tools Emerging technology New programming model Could be the future of computing? Running application on very large data‐setsCarnegie MellonSpring 2010 ©15-319 Introduction to Cloud ComputingCarnegie MellonSpring 2010 ©15-319 Introduction to Cloud Computing4Syllabus: Course Purpose Introduce you to the basics of the emerging cloud computing paradigm learn how this paradigm came about  understand its enabling technologies understand the computer systems constraints, tradeoffs and techniques in setting up and using the cloud  Teach you how to implement algorithms in the cloud gain competence in Hadoop/MapReduce as a programming model for distributed processing of large datasets. understand how different algorithms can be implemented and executed in the Hadoop framework. gain competence in evaluating the performance and identifying bottlenecks when mapping applications to the cloud.Carnegie MellonSpring 2010 ©15-319 Introduction to Cloud ComputingSyllabus: Target Audience Juniors & Seniors Pre‐requisites: 15‐213 15‐251 15‐212 Other equivalent coursesCarnegie MellonSpring 2010 ©15-319 Introduction to Cloud Computing Majd F. Sakr Office Hours: Tuesday 3‐5pm Welcome when my office door is open By appointment TA: Suhail Rehman Office Hours: To be decided NOW By appointmentSyllabus: InstructorCarnegie MellonSpring 2010 ©15-319 Introduction to Cloud ComputingSyllabus: Course ComponentsWhat are we trying to answer?Why Cloud Computing?What is Cloud Computing?How does Cloud Computing work?What are its challenges and opportunities?Carnegie MellonSpring 2010 ©15-319 Introduction to Cloud ComputingSyllabus: Course ComponentsTimeNow I know what Cloud Computing isEnd of week twoCarnegie MellonSpring 2010 ©15-319 Introduction to Cloud ComputingSyllabus: Course ComponentsTimeNow I appreciate why Cloud Computing is importantNow I know what Cloud Computing isDistributed Systems End of week twoParallel Processing End of week fiveCarnegie MellonSpring 2010 ©15-319 Introduction to Cloud ComputingSyllabus: Course ComponentsTimeNow I appreciate why Cloud Computing is importantNow I know what Cloud Computing isNow I really understand how Cloud Computing worksEnd of week twoEnd of week fiveEnd of week eightDFSHDFSHadoop ClusterParallel Processing Distributed Systems Virtualization Storage HadoopFunctionalProgramming Algorithms Apache’s implementationUsed byMap/ReduceA programming modelParallelized byCarnegie MellonSpring 2010 ©15-319 Introduction to Cloud ComputingSyllabus: Course ComponentsDFSHDFSHadoop ClusterParallel Processing Distributed Systems Virtualization Storage HadoopFunctionalProgramming Algorithms Apache’s implementationUsed byMap/ReduceA programming modelParallelized byCloud ComputingCarnegie MellonSpring 2010 ©15-319 Introduction to Cloud ComputingSyllabus: Course ComponentsNow I can play withCarnegie MellonSpring 2010 ©15-319 Introduction to Cloud ComputingSyllabus: Text Books Primary Book: Tom White,Hadoop: The Definitive Guide, O'Reilly Media, 2009.  Reference Books  Tanenbaum and van Steen, Distributed Systems: Principles and Paradigms, Pearson, 2007. Jean Dollimore, Tim Kindberg, George Coulouris, Distributed Systems: Concepts and Design, Fourth Edition, Addison Wesley, 2005. Randal E. Bryant and David R. O'Hallaron, Computer Systems: A Programmer's Perspective, Prentice Hall, 2003. Patterson and Hennessy, Computer Organization and Design: The Hardware/Software Interface, Fourth Edition, Morgan Kaufmann/Elsvier. Jason Venner, Pro Hadoop, Apress, 2009.Carnegie MellonSpring 2010 ©15-319 Introduction to Cloud ComputingSyllabus: Projects Five assignments 2 weeks per assignment Technical papers and case studies Short write‐up In‐class presentations and discussions Four Projects: 4‐5 weeks per project Final project includes a paper and presentationCarnegie MellonSpring 2010 ©15-319 Introduction to Cloud ComputingSyllabus: ExamONLY EXAMTimeNow I appreciate why Cloud Computing is importantNow I know what Cloud Computing isNow I really understand how Cloud Computing worksEnd of week twoEnd of week fiveEnd of week eight DFSHDFSHadoop ClusterParallel Processing Distributed Systems Virtualization Storage HadoopFunctionalProgramming Algorithms Apache’s implementationUsed byMap/ReduceA programming modelParallelized byEnd of week NINECarnegie MellonSpring 2010 ©15-319 Introduction to Cloud Computing Attendance/Participation 10% Assignments 15% Projects 60% Project 1: 10% Project 2: 10% Project 3: 15% Project 4: 25% Exam 15%Syllabus: GradingCarnegie MellonSpring 2010 ©15-319 Introduction to Cloud ComputingFinal ThoughtsCarnegie MellonSpring 2010 ©15-319 Introduction to Cloud ComputingWhat Computing Paradigms Are There?Carnegie MellonSpring 2010 ©15-319 Introduction to Cloud