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Reading Group. DistAI: Data-Driven Automated Invariant Learning for Distributed Protocols
In the 71st DistSys reading group meeting, we have discussed “DistAI: Data-Driven Automated Invariant Learning for Distributed Protocols” OSDI’21 paper. Despite the misleading title, this paper has nothing to do with AI or Machine Learning. Instead, it focuses on the automated search for invariants in distributed algorithms. I will be brief and a bit hand-wavy…
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One Page Summary. Photons: Lambdas on a diet
Recently, to prepare for a class I teach this semester, I went through the “Photons: Lambdas on a diet” SoCC’20 paper by Vojislav Dukic, Rodrigo Bruno, Ankit Singla, Gustavo Alonso. This is a very well-written paper with a ton of educational value for people like me who are only vaguely familiar with serverless space! The…
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Reading Group. In Reference to RPC: It’s Time to Add Distributed Memory
Our 70th meeting covered the “In Reference to RPC: It’s Time to Add Distributed Memory” paper by Stephanie Wang, Benjamin Hindman, and Ion Stoica. This paper proposes some improvements to remote procedure call (RPC) frameworks. In current RPC implementations, the frameworks pass parameters to function by value. The same happens to the function return values.…
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Reading Group. Fault-Tolerant Replication with Pull-Based Consensus in MongoDB
In the last reading group meeting, we discussed MongoDB‘s replication protocol, as described in the “Fault-Tolerant Replication with Pull-Based Consensus in MongoDB” NSDI’21 paper. Our reading group has a few regular members from MongoDB, and this time around, Siyuan Zhou, one of the paper authors, attended the discussion, so we had a perfect opportunity to…
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Reading Group. Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing with Cameo
In the 68th reading group session, we discussed scheduling in dataflow-like systems with Cameo. The paper, titled “Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing with Cameo,” appeared at NSDI’21. This paper discusses some scheduling issues in data processing pipelines. When a system answers a query, it breaks the query into several steps or…
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Reading Group Paper List. Papers ##71-80
We will start the fall semester with a new set of reading group papers. As before, we have ten papers in total. Nine of them are new papers from top venues, and one is a foundational paper on Viestamped Replication. Instead of the original VR paper, we will look at its more modern counterpart/rewrite/update —…
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Reading Group. When Cloud Storage Meets RDMA
I am very behind on the reading group summaries, so this summary will be short and less detailed. In the 67th reading group meeting, we discussed the “When Cloud Storage Meets RDMA” paper from Alibaba. This paper is largely an experience report on using RDMA in practical storage systems. Large-scale RDMA deployments are rather difficult…
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Reading Group. Cores that don’t count
Our 66th paper was a recent HotOS piece about faulty CPUs: “Cores that don’t count.” This paper from Google describes a decently common (at Google datacenter scale) issue with CPUs that may miscompute or silently fail under some conditions. This is a big deal, as we expect CPUs to be deterministic and always provide correct…
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Reading Group. FoundationDB: A Distributed Unbundled Transactional Key Value Store
Last week we discussed the “FoundationDB: A Distributed Unbundled Transactional Key Value Store” SIGMOD’21 paper. We had a rather detailed presentation by Moustafa Maher. FoundationDB is a transactional distributed key-value store meant to serve as the “foundation” or lower layer for more comprehensive solutions. FoundationDB supports point and ranged access to keys. This is a…
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Reading Group. Evolution of Development Priorities in Key-value Stores Serving Large-scale Applications: The RocksDB Experience
On Wednesday, we had our 26th reading group meeting, discussing RocksDB with a help of a recent experience paper: “Evolution of Development Priorities in Key-value Stores Serving Large-scale Applications: The RocksDB Experience.” Single-server key-value storage systems are crucial for so many distributed systems and databases. For distributed folks like myself, these often remain black-boxes that…
I am an assistant professor of computer science at the University of New Hampshire. My research interests lie in distributed systems, distributed consensus, fault tolerance, reliability, and scalability.
@AlekseyCharapko
aleksey.charapko@unh.edu