BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Information Systems Group - ECPv6.4.0.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Information Systems Group
X-ORIGINAL-URL:https://isg.ics.uci.edu
X-WR-CALDESC:Events for Information Systems Group
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20180311T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20181104T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181102T110000
DTEND;TZID=America/Los_Angeles:20181102T120000
DTSTAMP:20261105T002556
CREATED:20181024T025814Z
LAST-MODIFIED:20190128T173206Z
UID:793-1541156400-1541160000@isg.ics.uci.edu
SUMMARY:Sushant Jain : Large scale and low latency data distribution from database to servers
DESCRIPTION:Many applications at Google are structured with data stored in a transactional database (source of truth) and same data being required by servers distributed worldwide. For efficient and fast computation servers store this data in memory. Further\, the database is changing continuously and we need to update the in-memory view of these large number of servers in real-time. For example\, in Google Search Ads application we have Advertisers configuration stored in a database and this data is loaded in the memory of various servers to compute Ads in a scalable and fast way. In this talk\, we describe our solution to this data distribution problem and the challenges that we encountered in providing a highly reliable and low latency service. \n  \nSpeaker Bio:  \nSushant Jain is a member of the Ads Quality Infrastructure group at Google Inc. His research interests include distributed systems and network routing. He is currently an engineering director and a lead engineer for multiple products in Ads Quality Infrastructure with a focus on data management and distribution. Many of the systems developed as part of his work at Google (such as WhyHigh\, Bandwidth Enforcer\, B4 Network) are actively deployed at Google and have had significant research impact as well. He is a recipient of the Best Paper Award at ACM SIGCOMM IMC 2011. He received his Ph.D. from the University of Washington in 2005 and a B.Tech. from IIT Delhi in 1999.
URL:https://isg.ics.uci.edu/event/large-scale-and-low-latency-data-distribution-from-database-to-servers/
LOCATION:DBH 6011
ATTACH;FMTTYPE=image/jpeg:https://isg.ics.uci.edu/wp-content/uploads/2018/10/google-datacenter-tech-13.jpg
END:VEVENT
END:VCALENDAR