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SUMMARY:Talk "Low latency vs scalability in causal consistency: trade-offs
  and protocols" by Diego Didona
DTSTART:20181204T141500
DTEND:20181204T151500
DTSTAMP:20260929T061125Z
UID:10036d82528eaa4b1e7dbeea88df21b5ded1b145f0618e1392559434
CATEGORIES:Conferences - Seminars
DESCRIPTION:Abstrac :\nCausal consistency is emerging as an interesting co
 nsistency level for building for geo-distributed systems\, as it strikes a
  sweet point in the trade-off between performance and programming complexi
 ty. In this talk we present theoretical and practical results on causal co
 nsistency. On the theoretical side\, we show a fundamental trade-off of ca
 usal consistency: it is impossible for a causal consistency implementation
  to  achieve the lowest latency and the highest scalability.\nIn light of
  this result\, we identify causal consistency designs that achieve feasibl
 e combinations of low latency and high scalability. We then show the imple
 mentation of such designs in Contrarian\, a system that implements causal 
 consistency\, and in Wren\, a system that supports generic transactions wi
 th causal consistency.\n\nBio :\nDiego Didona received the MSc degree in c
 omputer engineering in 2010 from Sapienza Università di Roma\, and the Ph
 D degree in computer engineering from Instituto Superior Técnico\, Univer
 sidade de Lisboa in 2015. He is a postdoctoral researcher at EPFL where he
  works on data center job scheduling\, key-value stores\, consistency in g
 eo-replicated data platforms\, and performance modeling applied to self-tu
 ning systems.
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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