2024 DKU System Software Lab Index Study
- Study Index and Learned Index Structures
- Write a open-source document.
- (Optional) Write a research paper on what you learned.
Date | Content | Presenter | |
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Week 1 | 24-01-03 | "Traditional Index" | Hojin Shin |
Week 2 | 24-01-10 | "Traditional Index" | Hojin Shin |
"A Learned Index Journey" | Minguk Choi | ||
Week 3 | 24-01-17 | "No Hot Spot Non-blocking Skip List", ICDCS 13 | Nakyeong Kim, Suhwan Shin |
Week 4 | 24-01-24 | "Benchmarking learned indexes.", VLDB 20 | Yeojin Oh, Zhu Yongjie |
"S3: A Scalable In-memory Skip-List Index for Key-Value Store", VLDB 19 | Boseung Kim, Yeongyu Choi | ||
Week 5 | 24-01-31 | "Learned Index: A Comprehensive Experimental Evaluation." VLDB 23 | Nakyeong Kim, Suhwan Shin, Yeongyu Choi |
Week 6 | 24-02-07 | Lunar New Year Holiday | |
Week 7 | 24-02-14 | "Cache craftiness for fast multicore key-value storage", EuroSys '12 | Boseung Kim, Yeojin Oh, Zhu Yongjie |
Week 8 | 24-02-21 | "The adaptive radix tree: ARTful indexing for main-memory databases", ICDE 13 | Nakyeong Kim, Suhwan Shin |
Week 9 | 24-02-28 | "Film: A fully learned index for larger-than-memory databases", VLDB 23 | Boseung Kim, Yeojin Oh, Zhu Yongjie |
Presenter | Contents | ||
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Week 4 | 24-01-24 | Nakyeong Kim, Suhwan Shin | No Hot Spot Non-Blocking Skip List - Range Query Experiment |
Week 5 | 24-01-31 | Boseung Kim, Yeojin Oh, Zhu Yongjie | Apply SIMD to RMI |
Week 6 | 24-02-07 | Lunar New Year Holiday | |
Week 7 | 24-02-14 | Nakyeong Kim, Suhwan Shin | LIPP Observations |
Boseung Kim, Yeojin Oh, Zhu Yongjie | Applying SIMD in Linear Regression | ||
Week 8 | 24-02-21 | Nakyeong Kim, Suhwan Shin | LIPP Observations Enhancement |
Boseung Kim, Yeojin Oh, Zhu Yongjie | SIMD + RMI | ||
Week 9 | 24-02-28 | Nakyeong Kim, Suhwan Shin | LIPP New Hypothesis |
Boseung Kim, Yeojin Oh, Zhu Yongjie | Revisiting HW Parallelism in Learned Indexes |
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- Traditional Index : Index-Microbench
- Traditional Index : SkipList, B+TreeRTM, B+TreeOLC, BwTree, ARTOLC, MassTree
- Read-Only Learned Index : LIST
- Learned Index : sRMI, sPGM-Index, sRS
- Traditional Index : sCHT, sRT, sB+Tree(STX B+-Tree), sART, sIBTree
- Updatable Learned Index : GRE
- Learned Index : ALEX, ALEX+, LIPP, LIPP+, PGM-Index, XIndex, FINEdex
- Traditional Index : STX B+Tree, B+TreeOLC, ART, ART-OLC, HOT, HOT-ROWEX, MassTree, Wormhole
- Tree-based
- Douglas Comer, "Ubiquitous B-Tree", ACM Computing Surveys, 1979
- R. Bayer, et al. "Organization and maintenance of large ordered indices", SIGFIDET '70
- Justin J. Levandoski, et al. "The Bw-Tree: A B-tree for new hardware platform", ICDE 2013
- J. Rao, et al. "Making B+-Trees Cache Conscious in Main Memory", SIGMOD 2000
- J. Rao, et al. "Cache Conscious Indexing for Decision-Support in Main Memory", VLDB '99
- Changkyu Kim et al. "FAST: fast architecture sensitive tree search on modern CPUs and GPUs", SIGMOD '10
- Yandong Mao, et al. "Cache craftiness for fast multicore key-value storage", EuroSys '12
- Viktor Leis, et al. "The adaptive radix tree: ARTful indexing for main-memory databases", ICDE 2013
- Wook-Hee Kim, et al. "PACTree: A High Performance Persistent Range Index Using PAC Guidelines", SOSP '21
- Se Kwon Lee, et al. "WORT: Write Optimal Radix Tree for Persistent Memory Storage Systems", FAST '17
- List-based
- William Pugh, "Skip lists: a probabilistic alternative to balanced trees", Communications of the ACM 1990
- Zhongle Xie, et al. "Parallelizing Skip Lits for In-Memory Multi-Core Database Systems", ICDE 2017
- Jeseong Yeon, et al. "JellyFish: A Fast Skip List with MVCC", Middleware '20
- Tyler Crain, et al. "No Hot Spot Non-blocking Skip List", ICDCS 2013
- Henry Daly, et al. "NUMASK: High Performance Scalable Skip List for NUMA", DISC 2018
- Yedam Na, et al. "ESL: A High-Performance Skiplist with Express Lane", MDPI 2023
- Zhongle Xie, et al. "PI: a parallel in-memory skip list based index", CoRR 2016
- Tadeusz Kobus, et al. "Jiffy: a lock-free skip list with batch updates and snapshots", PPoPP '22
- Vitaly Aksenov, et al. "The splay-list: a distribution-adaptive concurrent skip-list", Distributed Computing 2023
- Hash-based
- Tudor David, et al. "Asynchronized Concurrency: The Secret to Scaling Concurrent Search Data Structures", ACM SGARCH '15
- Vikram Narayanan, et al. "DRAMHiT: A Hash Table Architected for the Speed of DRAM", EuroSys '23
- Daokun Hu, et al. "Halo: A Hybrid PMem-DRAM Persistent Hash Index with Fast Recovery", SIGMOD '20
- Hybrid Technique
- Jingtian Zhang, et al. "S3: a scalable in-memory skip-list index for key-value store", VLDB 2019
- Sprenger, et al. "Cache-Sensitive Skip List: Efficient Range Queries on Modern CPUs", Data Management on New Hardware 2016
- Hokeun Cha, et al. "Blink-hash: An Adaptive Hybrid Index for In-Memory Time-Series Databases", VLDB 2023
- Hongbo Kang, et al. "PIM-Tree: A Skew-Resistant Index for Processing-in-Memory", VLDB 2022
- Ajit mathew, et al. "HydraList: a scalable in-memory index using asynchronous updates and partial replication", VLDB 2020
- Wenlong Ma, et al. "BiloKey: A Scalable Bi-Index Locality-Aware In-Memory Key-Value Store", IEEE TPDS 2019
- Survey
- Z. Xie, et al. "A Comprehensive Performance Evaluation of Modern In-Memory Indices", ICDE 2018
- Abdullah Talha Kabakus, et al, "A performance evaluation of in-memory databases", J. King Saud Univ. Comput. Inf. Sci. 2017
- Venkata Sai Pavan Kumar Vadrevu et al, "Tutorial: The Ubiquitous Skiplist, its Variants, and Applications in Modern Big Data Systems"
- Maltry, Marcel, et al. "A critical analysis of recursive model indexes.", VLDB 22
- Ferragina, Paolo, et al. "The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds.", VLDB 20 📊
- Kipf, Andreas, et al. "RadixSpline: a single-pass learned index.", aiDM@SIGMOD 20 🎬
- Marcus, Ryan, et al. "Benchmarking learned indexes.", VLDB 20
- Minguk, Choi, et al. "Can Learned Indexes be Build-Efficient? A Deep Dive into Sampling Trade-Offs.", SIGMOD 24
- Ding, Jialin, et al. "ALEX: an updatable adaptive learned index.", SIGMOD 20 🎬
- Wu, Jiacheng, et al. "Updatable learned index with precise positions.", VLDB 21 🎬
- Wongkham, Chaichon, et al. "Are updatable learned indexes ready?", VLDB 22'
- Sun, Zhaoyan, et al. "Learned Index: A Comprehensive Experimental Evaluation." VLDB 23.
- Ge, Jiake, et al. "SALI: A Scalable Adaptive Learned Index Framework based on Probability Models.", SIGMOD 24
- Error-Bounded PLA Model
- Key-Value Store
- Dai, Yifan, et al. "From {WiscKey} to Bourbon: A Learned Index for {Log-Structured} Merge Trees.", OSDI 20
- Yu, Geoffrey X., et al. "Treeline: an update-in-place key-value store for modern storage.", VLDB 22 📊
- NVM Device
- FTL
- LumingSun, "ML4DB-paper-list"
- CMU, "Intro to Database Systems", Fall 2023
- This course is about the design/implementation of DBMS, not about "how to use a DBMS".
- It is recommended to understand indexes in the overall flow of DBMS. Be sure to take courses 7, 8, and 9.
- Tim Kraska, "AWS On Air ft. How will AI revolutionize databases?", 2023
- Jongmoo Choi,"Key-Value Store: Database for Unstructured Bigdata (KOR)", 2021 📊
- MIT, "Machine Learning for Systems", 2021
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Lectures
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Documents
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Tools
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File
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Previous Study
- Student: Suhwan Shin, Zhu Yongjie, Boseung Kim, Yeojin Oh, Nakyeong Kim, Yeongyu Choi
- Assistant: Hojin Shin, Minguk Choi
- Professor: Jongmoo Choi
- Date: Every Wensday in January, February
- Time: 14:00 ~ 16:00
- Place: Dankook University Software ICT Hall Room 507