云计算技术及应用的论文.ppt

Syllabus (Subject to change) Week 6 Apr 5: Lecture 11: Some Google Technologies Apr 7: Lecture 12: Virtualization Week 7 Lecture 13 14: Project Presentation Week 8: No class Week 9: Lecture 15 16: Project Presentation Gartner Report Top 10 Strategic Technology Areasfor 2009 Virtualization Cloud Computing Servers: Beyond Blades Web-Oriented Architectures Enterprise Mashups Specialized Systems Social Software and Social Networking Unified Communications Business Intelligence Green Information Technology From Desktop/HPC/Grids to Internet Clouds in 30 Years HPC moving from centralized supercomputers to geographically distributed desktops, clusters, and grids to clouds over last 30 years R/D efforts on HPC, clusters, Grids, P2P, and virtual machines has laid the foundation of cloud computing that has been greatly advocated since 2007 Location of computing infrastructure in areas with lower costs in hardware, software, datasets, space, and power requirements – moving from desktop computing to datacenter-based clouds What is Cloud Computing? 1. Web-scale problems 2. Large data centers 3. Different models of computing 4. Highly-interactive Web applications 1. “Web-Scale” Problems Characteristics: Definitely data-intensive May also be processing intensive Examples: Crawling, indexing, searching, mining the Web Data warehouses Sensor networks “Post-genomics” life sciences research Other scientific data (physics, astronomy, etc.) Web 2.0 applications … How much data? Google processes 20 PB a day (2008) “all words ever spoken by human beings” ~ 5 EB CERN’s LHC will generate 10-15 PB a year What to do with more data? Answering factoid questions Pattern matching on the Web Works amazingly well Learning relations Start with seed instances Search for patterns on the Web Using patterns to find more instances How do I make money? Petabytes of valuable customer data… Sitting idle in existing data warehouses Overflowing out of existing data warehouses Simply being thrown