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SUMMARY:IC Colloquium: Fast\, Elastic Storage for the Cloud
DTSTART:20190411T101500
DTEND:20190411T111500
DTSTAMP:20260407T111324Z
UID:9cd169d3dd327e8d5e65acc06a06ae74dfddda419733cb0ebbe8b11b
CATEGORIES:Conferences - Seminars
DESCRIPTION:By: Ana Klimovic - Stanford University\nIC Faculty candidate\n
 \nAbstract:\nCloud computing promises high performance\, cost-efficiency\,
  and elasticity\, three essential goals when processing exponentially grow
 ing datasets. To meet these goals\, cloud platforms must provide each appl
 ication with the right amount and balance of compute and fast storage reso
 urces (e.g.\, NVMe Flash). This is challenging today because server machin
 es have a fixed ratio of compute to storage resources\, remote access to f
 ast storage leads to significant performance and cost overheads\, and stor
 age requirements vary significantly over time and across applications. \n
  \nThis talk will focus on how to build high performance\, cost-effective
 \, and easy-to-use cloud storage systems. First\, I will discuss how to pr
 ovide fast access to remote Flash storage so that the balance of compute a
 nd storage allocation is not limited by the physical characteristics of se
 rver hardware. I will present ReFlex\, a custom network-storage operating 
 system that provides fast access to modern Flash storage over commodity cl
 oud networks. ReFlex enables storage devices to be shared among multiple t
 enants with predictable performance. Second\, I will discuss how to implem
 ent intelligent allocation of storage resources. I will present Pocket\, a
  distributed storage service that combines the fast remote data access in 
 ReFlex with automatic resource allocation for serverless analytics workloa
 ds. I will also briefly discuss the potential of using machine learning in
  resource allocation. \n\nBio:\nAna Klimovic is a Ph.D. candidate in the 
 Electrical Engineering Department at Stanford University. Her research int
 erests are in computer systems and computer architecture. Ana is particula
 rly interested in designing and implementing high performance\, resource-e
 fficient computer systems for cloud computing. As part of her research\, s
 he has collaborated with companies such as Facebook\, Microsoft\, and IBM.
  Before coming to Stanford\, Ana earned her Bachelor’s degree in Enginee
 ring Science at the University of Toronto. She is a Microsoft Research Ph.
 D. Fellow\, Stanford Graduate Fellow\, and Accel Innovation Scholar.\n\nMo
 re information
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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