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SUMMARY:IC Colloquium : Big Data: Scale Down\, Scale Up\, Scale Out
DTSTART:20140327T161500
DTEND:20140327T173000
DTSTAMP:20260406T201333Z
UID:ab73a78970b7dc5ea6eb583eb138fdd58703d7563061f7b169a29006
CATEGORIES:Conferences - Seminars
DESCRIPTION:By : Phil Gibbons\, Intel Labs Pittsburgh\nIC Faculty candidat
 eAbstract\nThe Big Data performance challenge arises whenever the volume o
 r velocity of data overwhelms current processing systems and techniques\, 
 resulting in performance that falls far short of desired.  Three approach
 es to improving the performance by orders of magnitude are:\n\n		Scale dow
 n the amount of data processed or the resources needed to perform the proc
 essing\, via data synopses\, approximate query processing\, or other techn
 iques\;\n	\n		Scale up the computing resources on a node\, via parallel pr
 ocessing and faster memory/storage technologies\; and\n	\n		Scale out the 
 computing to distributed nodes in a cluster/cloud or at the edge where the
  data resides.\n\nThis talk will highlight my two decades of research tack
 ling all three of these approaches\, discussing the key challenges\, our s
 olutions and their impact\, and promising future directions.Biography\nPhi
 llip B. Gibbons is a Principal Research Scientist at Intel Labs and Princi
 pal Investigator (together with Prof. Greg Ganger) for the Intel Science a
 nd Technology Center for Cloud Computing\, a $12M research partnership wit
 h Carnegie Mellon\, Georgia Tech\, Princeton\, UC Berkeley\, and Washingto
 n. He is also an Adjunct (Full) Professor in the Computer Science Departme
 nt at Carnegie Mellon University.  Gibbons’ publications span a broad r
 ange of computer science (e.g.\, papers in ASPLOS\, CCS\, CIDR\, EuroSys\,
  ICDM\, JFP\, MICRO\, NIPS\, PACT\, PLDI\, PODC\, PPoPP\, SIGMOD\, SPAA\, 
 ToN and VLDBJ in the past 4 years)\, and have been cited over 12\,500 time
 s\, including 33 papers cited over 100 times and an h-index of 59 [Google 
 Scholar]. Gibbons is Editor-in-Chief for the just launched ACM Transaction
 s on Parallel Computing\, an Associate Editor for both the Journal of the 
 ACM and the IEEE Transactions on Cloud Computing\, and has served on 60+ p
 rogram committees. Gibbons is both an ACM Fellow and an IEEE Fellow.More i
 nformation
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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