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SUMMARY:IC Colloquium: Building Better Datacenters - The Quest for Low Lat
 ency
DTSTART:20210218T160000
DTEND:20210218T170000
DTSTAMP:20260510T062913Z
UID:810767c024599ccf54440ce4c0b63657ef34889430969d1e6f66d0f7
CATEGORIES:Conferences - Seminars
DESCRIPTION:By: Simon Peter - University of Texas at Austin\n\nAbstract\nA
 s datacenter applications grow in number and complexity\, datacenter-inter
 nal service latency requirements are dropping into the microsecond range. 
 Providing consistent microsecond-scale service latencies at increasing dat
 acenter utilization is difficult. Operating system functionality on the se
 rvice critical path often incurs high\, millisecond-scale overhead\, and i
 ntroduces even longer queueing delay as utilization rises. My research aim
 s to dramatically lower\ndatacenter service latencies by co-designing hard
 ware and operating system functionality to remove these overheads from the
  critical path.\n\nIn this talk\, I focus on the adoption of low latency p
 ersistent memory modules (PMMs) in datacenter servers. PMMs upend the long
 -established model of remote storage for distributed file systems. Instead
 \, by colocating computation with PMM storage we can provide applications 
 with much lower IO and application failover latencies\, while offering str
 ong consistency. I present Assise\, a new distributed file system\, based 
 on a persistent\, replicated coherence protocol that manages client-local 
 PMM as a linearizable and crash-recoverable cache between applications and
  slower (and possibly remote) storage. Assise maximizes locality for all f
 ile IO by carrying out IO on process-local\, socket-local\, and client-loc
 al PMM whenever possible. Assise minimizes coherence overhead by maintaini
 ng consistency at IO operation granularity\, rather than at fixed block si
 zes. Assise improves IO latency\, throughput\, and fail-over time by an or
 der of magnitude versus the state-of-the-art\, while providing stronger co
 nsistency semantics. I finish with an overview of further research in this
  space\, and an outlook to important future challenges.\n\nBio\nSimon is a
 n assistant professor in computer science at The University of Texas at Au
 stin. Simon works to dramatically improve data center efficiency and relia
 bility by designing\, building\, and evaluating new alternatives for their
  hardware and software components. Simon currently co-designs networking a
 nd storage stacks with new hardware technologies to reduce service latenci
 es by orders of magnitude beyond today's capabilities.\n\nSimon is the dir
 ector of the Texas Systems Research Consortium\, where he collaborates clo
 sely with industry to shape the future of cloud computing. Simon's work is
  supported by VMware\, Microsoft Research\, Huawei\, Google\, Citadel Secu
 rities\, and Arm. Simon received the SIGOPS Hall of Fame award in 2020. He
  was twice awarded the Jay Lepreau Best Paper Award\, in 2014 and 2016\, a
 n IEEE Micro Top Pick Honorable Mention in 2021\, and a Memorable Paper Aw
 ard in 2018. He received an NSF CAREER Award and he is a Sloan research fe
 llow. Before joining UT Austin in 2016\, Simon was a research associate at
  the University of Washington from 2012-2016. He received a Ph.D. in Compu
 ter Science from ETH Zurich in 2012.\n\nMore information
LOCATION:https://epfl.zoom.us/j/88487368284?pwd=TU5QNGdqSHVnTFREaFgrelFaTU
 pIdz09
STATUS:CANCELLED
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