Reading Group
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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…
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Reading Group. Unifying Timestamp with Transaction Ordering for MVCC with Decentralized Scalar Timestamp
Unlike many of my recent summarier, I will mskr this one short, I promise. “Unifying Timestamp with Transaction Ordering for MVCC with Decentralized Scalar Timestamp” NSDI’21 paper proposes a mechanism to order transactions in multi-version distributed data-stores. One of the problems with distributed transactions is the ordering required to achieve consistency. In particular, we often…
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Reading Group. Strong and Efficient Consistency with Consistency-Aware Durability
In the 62nd reading group session, we covered the “Strong and Efficient Consistency with Consistency-Aware Durability” paper from FAST’20. Jesse did an excellent presentation for the group that explains the core of the paper rather well: This paper describes a problem with many leader-based replication protocols. It specifically focuses on ZooKeper and Zab, but similar…
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Reading Group. Conflict-free Replicated Data Types
We kicked off a new set of papers in the reading group with some fundamental reading – “Conflict-free Replicated Data Types.” Although not very old (and not the first one to suggest something similar to CRDTs), the paper we discussed presents a proper definition of Conflict-free Replicated Data Types (CRDTs) and the consistency framework around…
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