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Cloud Computing Lecture #1



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Cloud Computing Lecture 1 What is Cloud Computing and an intro to parallel distributed processing Jimmy Lin The iSchool University of Maryland Wednesday September 3 2008 Some material adapted from slides by Christophe Bisciglia Aaron Kimball Sierra Michels Slettvet Google Distributed Computing Seminar 2007 licensed under Creation Commons Attribution 3 0 License This work is licensed under a Creative Commons Attribution Noncommercial Share Alike 3 0 United States See http creativecommons org licenses by nc sa 3 0 us for details Source http www free pictures photos com 1 What is Cloud Computing 1 Web scale problems 2 Large data centers 3 Different ff models off computing 4 Highly interactive Web applications The iSchool University of Maryland 1 Web Scale Problems Characteristics z z Definitely data intensive May also be processing intensive Examples z z z z z z Crawling indexing searching mining the Web Post genomics life sciences research Other scientific data physics astronomers etc Sensor networks Web 2 0 applications The iSchool University of Maryland 2 How much data Wayback Machine has 2 PB 20 TB month 2006 Google processes 20 PB a day 2008 words ever spoken by human beings 5 EB all NOAA has 1 PB climate data 2007 CERN s LHC will generate 15 PB a year 2008 640K ought g to be enough for anybody The iSchool University of Maryland Maximilien Brice CERN 3 Maximilien Brice CERN There s nothing like more data s inspiration data g Banko and Brill ACL 2001 Brants et al EMNLP 2007 The iSchool University of Maryland 4 What to do with more data Answering factoid questions z z Pattern matching on the Web Works amazingly well Who shot Abraham Lincoln X shot Abraham Lincoln Learning relations z z z Start with seed instances Search for patterns on the Web Using patterns to find more instances Wolfgang Amadeus Mozart 1756 1791 Einstein was born in 1879 Birthday of Mozart 1756 Birthday of Einstein 1879 PERSON DATE PERSON was born in DATE Brill et al TREC 2001 Lin ACM TOIS 2007



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