BEGIN:VCALENDAR
VERSION:2.0
X-WR-TIMEZONE:America/Chicago
PRODID:-//Apple Inc.//iCal 3.0//EN
CALSCALE:GREGORIAN
X-WR-CALNAME:Petascale Data Analytics on Clouds: Trends, Challenges and Opportunities
METHOD:PUBLISH
BEGIN:VTIMEZONE
TZID:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
DTSTART:20070311T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
TZNAME:CDT
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
DTSTART:20071104T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
TZNAME:CST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
SEQUENCE:2
DTSTART;TZID=America/Chicago:20101114T090000
DESCRIPTION:ABSTRACT: Recent decade has witnessed data explosion\, and petabyte sized data archives are not uncommon any more. Many traditional application domains are now becoming data intensive. It is estimated that organizations with high-performance computing infrastructures and data centers are doubling the amount of data that they are archiving every year. Processing large datasets using supercomputers alone is not an economical solution. Cloud computing\, which is a large-scale distributed computing\, has attracted significant attention of both industry and academia in recent years and is fast becoming a cheaper alternative to costly centralized systems. Many recent studies have shown the utility of cloud computing in data mining and knowledge discovery. This workshop intends to bring together researchers\, developers\, and practitioners from academia\, government\, and industry to discuss new and emerging trends in cloud computing technologies\, programming models\, and software services and outline the DM/KD approaches that can efficiently exploit this modern computing infrastructure.   Please visit: http://www.ornl.gov/sci/knowledgediscovery/CloudComputing/PDAC-SC10/ for more information.
UID:wksp118@sc10.supercomputing.org
SUMMARY:Petascale Data Analytics on Clouds: Trends, Challenges and Opportunities
DTEND;TZID=America/Chicago:20101114T173000
LOCATION:280-281
END:VEVENT
END:VCALENDAR