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paper_reading
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# paper_reading 由于 AI 翻译越来越完善，感觉已经不需要再翻译论文了，后续将放一些我读过的论文 ## Database [Orca](https://tanzu.vmware.com/content/white-papers/orca-a-modular-query-optimizer-architecture-for-big-data) [X100](https://www.cidrdb.org/cidr2005/papers/P19.pdf) [What Goes Around Comes Around... And Around...](https://db.cs.cmu.edu/papers/2024/whatgoesaround-sigmodrec2024.pdf) [The Transaction Concept:Virtues and Limitations](https://jimgray.azurewebsites.net/papers/thetransactionconcept.pdf) [WiscKey](https://github.com/Songrui625/wisckey-zh_cn/blob/main/wisckey-zh_cn.md) [A Morsel-Driven Query Execution Engine for Heterogeneous Multi-Cores](https://www.vldb.org/pvldb/vol12/p2218-dursun.pdf) [F3](https://dl.acm.org/doi/pdf/10.1145/3749163) [Dremel](https://storage.googleapis.com/gweb-research2023-media/pubtools/3293.pdf) [ClickHouse](https://www.vldb.org/pvldb/vol17/p3731-schulze.pdf) ## Distributed systems [Raft](https://ramcloud.atlassian.net/wiki/download/attachments/6586375/raft.pdf) [Raft博士论文](https://github.com/ongardie/dissertation/blob/master/stanford.pdf) [Zookeeper](https://github.com/mapleFU/zookeeper_paper_cn/blob/master/Hunt.pdf) [Dapper](https://storage.googleapis.com/pub-tools-public-publication-data/pdf/36356.pdf) [GFS](https://github.com/houmingyuan/Google-MapReduce-GFS-BigTable/blob/master/Google-File-System%E4%B8%AD%E6%96%87%E7%89%88_1.0.pdf) ## BigData [Calcite](https://arxiv.org/pdf/1802.10233.pdf) [Kafka](https://cs.uwaterloo.ca/~ssalihog/courses/papers/netdb11-final12.pdf) [Presto](https://trino.io/Presto_SQL_on_Everything.pdf) [Resilient Distributed Datasets](https://www.usenix.org/system/files/conference/nsdi12/nsdi12-final138.pdf) ## Streaming systems [ABS](https://arxiv.org/abs/1506.08603) [DataFlow](https://www.vldb.org/pvldb/vol8/p1792-Akidau.pdf) [Flink](https://asterios.katsifodimos.com/assets/publications/flink-deb.pdf) ## **Thank you for your help** [OneSizeFitsQuorum](https://github.com/OneSizeFitsQuorum) [mapleFU ](https://github.com/mapleFU) [victorchu](https://github.com/chutian0610) [maemual](https://github.com/maemual)
