Reading Group
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Reading Group. Aragog: Scalable Runtime Verification of Shardable Networked Systems
We have covered 50 papers in the reading group so far! This week we looked at the “Aragog: Scalable Runtime Verification of Shardable Networked Systems” from OSDI’20. This paper discusses the problem of verifying the network functions (NFs), such as NAT Gateways or firewalls at the runtime. The problem is quite challenging due to its…
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Reading Group. Protean: VM Allocation Service at Scale
The last paper in our reading group was “Protean: VM Allocation Service at Scale.” This paper from Microsoft is full of technical insights into how they operate their datacenters/regions at scale. In particular, the paper discusses one of the fundamental components of any cloud provider — the VM service. The system, called Protean, is an…
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Reading Group. Sundial: Fault-tolerant Clock Synchronization for Datacenters
In our 48th reading group meeting, we talked about time synchronization in distributed systems. More specifically, we discussed the poor state of time sync, the reasons for it, and most importantly, the solutions, as outline in the “Sundial: Fault-tolerant Clock Synchronization for Datacenters” OSDI’20 paper. We had a comprehensive presentation by Murat Demirbas. Murat’s talk…
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Reading Group Special Session: Building Distributed Systems With Stateright
This talk is part of the Distributed Systems Reading Group. Stateright is a software framework for analyzing and systematically verifying distributed systems. Its name refers to its goal of verifying that a system’s collective state always satisfies a correctness specification, such as “operations invoked against the system are always linearizable.” Cloud service providers like AWS…
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Reading Group. Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads
On Wednesday we were discussing scheduling in large distributed ML/AI systems. Our main paper was the “Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads.” one from OSDI’20. However, it was a bit outside of our group’s comfort zone (outside of my comfort zone for sure). Luckily we had an extensive presentation with a complete background…
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Reading Group. FlightTracker: Consistency across Read-Optimized Online Stores at Facebook
Last DistSys Reading Group we have discussed “FlightTracker: Consistency across Read-Optimized Online Stores at Facebook.” This paper is about consistency in Facebook’s TAO caching stack. TAO is a large social graph storage system composed of many caches, indexes, and persistent storage backends. The sheer size of Facebook and TAO makes it difficult to enforce meaningful…
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Reading Group Paper List. Papers ##51-60.
With just four more papers to go in the DistSys Reading Group’s current batch, it is time to get the next set going. This round, we will have 10 papers that should last till the end of the spring semester. Our last batch was all about OSDI’20 papers, and this time around we will mix…
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Reading Group. Pegasus: Tolerating Skewed Workloads in Distributed Storage with In-Network Coherence Directories
Hard to imagine, but the reading group just completed the 45th session. We discussed “Pegasus: Tolerating Skewed Workloads in Distributed Storage with In-Network Coherence Directories,” again from OSDI’20. Pegasus is one of these systems that are very obvious in the hindsight. However, this “obviousness” is deceptive — Dan Ports, one of the authors behind the…
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Reading Group. Performance-Optimal Read-Only Transactions
Last meeting we looked at “Performance-Optimal Read-Only Transactions” from OSDI’20. This paper covers important topics of transactional reads in database/data-management systems. In particular, the paper discusses “one-shot” read-only transactions that complete in 1 network round-trip-time (RTT) without blocking and bloated and expensive messages. If this sounds too good to be true, it is. Before presenting…
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Reading Group. Microsecond Consensus for Microsecond Applications
Our 43rd reading group paper was about an extremely low-latency consensus using RDMA: “Microsecond Consensus for Microsecond Applications.” The motivation is pretty compelling — if you have a fast application, then you need fast replication to make your app reliable without holding it back. How fast are we talking here? Authors go for ~1 microsecond…
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