SCS Special Seminar

  • Remote Access - Zoom
  • Virtual Presentation - ET
  • Assistant Professor of Computer Science
  • The University of Texas at Austin
  • Director, Texas Systems Research Consortium

Building Better Datacenters - The Quest for Low Latency

As datacenter applications grow in number and complexity, datacenter-internal service latency requirements are dropping into the microsecond range. Providing consistent microsecond-scale service latencies at increasing datacenter utilization is difficult. Operating system functionality on the service critical path often incurs high, millisecond-scale overhead, and introduces even longer queueing delay as utilization rises. My research aims to dramatically lower datacenter service latencies by co-designing hardware and operating system functionality to remove these overheads from the critical path.

In this talk, I focus on the adoption of low latency persistent 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 strong 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 file IO by carrying out IO on process-local, socket-local, and client-local PMM whenever possible. Assise minimizes coherence overhead by maintaining consistency at IO operation granularity, rather than at fixed block sizes. Assise improves IO latency, throughput, and fail-over time by an order of magnitude versus the state-of-the-art, while providing stronger consistency semantics. I finish with an overview of furtherresearch in this space, and an outlook to important future challenges.

Simon Peter is an assistant professor in computer science at The University of Texas at Austin. Simon works to dramatically improve data center efficiency and reliability by designing, building, and evaluating new alternatives for their hardware and software components. Simon
currently co-designs networking and storage stacks with new hardware technologies to reduce service latencies by orders of magnitude beyond today's capabilities.

Simon is the director of the Texas Systems Research Consortium, where he collaborates closely with industry to shape the future of cloud computing. Simon's work is supported by VMware, Microsoft Research, Huawei, Google, Citadel Securities, 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, an IEEE Micro Top Pick Honorable Mention in 2021, and a Memorable Paper Award in 2018. He received an NSF CAREER Award and he is a Sloan research fellow. Before joining UT Austin in 2016, Simon was a research associate at the University ofWashington from 2012-2016. He received a Ph.D. in Computer Science from ETH Zurich in 2012.

Faculty Host:  Nathan Beckmann, Computer Science Department 

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