| Week | +Date | +Topic | +Speaker | +Readings | +
|---|---|---|---|---|
| 1 | +1/9 | +Introduction to Disaggregated & Heterogeneous Platforms | +M. Tamer Özsu | ++ + * R. Wang et al., [The Case for Shared-Memory Databases with RDMA-Enabled Memory Disaggregation](https://www.vldb.org/pvldb/vol16/p15-wang.pdf), _Proc. VLDB Endowment_, 2022. + * I. Blagodurov et al., [The time is ripe for disaggregated systems](https://www.sigarch.org/the-time-is-ripe-for-disaggregated-systems/). Computer Architecture Today – ACM SIGARCH Blog, 2021. + * Ghandeharizadeh et al., [Disaggregated database management systems](https://doi.org/10.1007/978-3-031-29576-8_3). In _Performance Evaluation and Benchmarking_, 2023. + | + +
| 2 | +1/16 | +Introduction to Graph Processing | +M. Tamer Özsu | ++ + * M. Besta et al., [Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries](https://doi.org/10.1145/3604932), _ACM Comput. Surv._ 56(2): 31:1-31:40, 2024. + * M.T. Özsu and P. Valduriez, [Big Data Processing](https://doi.org/10.1007/978-3-030-26253-2_10). In _Principles of Distributed Database Systems_. Springer, 2022. (Focus on Section 10.4)-ripe-for-disaggregated-systems/). Computer Architecture Today – ACM SIGARCH Blog, 2021. + * M.T. Özsu and P. Valduriez, [Big Data Processing](https://doi.org/10.1007/978-3-030-26253-2_10). In _Principles of Distributed Database Systems_. Springer, 2022. (Focus on Section 12.6) + | + +
| 3 | +1/23 | +Networking infrastructure | ++ | + + * R. Recio, [A Tutorial of the RDMA Model](https://www.hpcwire.com/2006/09/15/a_tutorial_of_the_rdma_model-1/), HPC Wire, 2006. + * InfiniBand Trade Organization, [Enabling the Modern Data Center – RDMA for the Enterprise](https://www.infinibandta.org/wp-content/uploads/2019/05/IBTA_WhitePaper_May-20-2019.pdf), 2019. + * A. Lerner et al., [Databases on modern networks: A decade of research that now comes into practice](https://doi.org/10.14778/3611540.3611579). _Proc. VLDB Endowment_, 16(12):3894–3897, 2023. + * D. Gouk et al., [Direct access, High-Performance memory disaggregation with DirectCXL](https://www.usenix.org/conference/atc22/presentation/gouk). In _Proc. USENIX 2022 Annual Technical Conf._, pages 287–294, 2022. + | + +
| 4 | +1/30 | +Storage disaggregation | +Student 1 Student 2 |
+ + + * A. Verbitski et al., [Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases](https://doi.org/10.1145/3035918.3056101), In _Proc. ACM SIGMOD Int. Conf. Management of Data_, pages 1041–1052, 2017. + * P. Antonopoulos, et al., [Socrates: The New SQL Server in the Cloud](https://dl.acm.org/doi/10.1145/3299869.3314047), In _Proc. ACM SIGMOD Int. Conf. Management of Data_, pages 1743–1756, 2019. + | + +
| 5 | +2/6 | +Storage disaggregation | +Student 3 Student 4 |
+ + + * W. Cao et al., [PolarFS: An Ultra-low Latency and Failure Resilient Distributed File System for Shared Storage Cloud Database](https://doi.org/10.14778/3229863.3229872), _Proc. VLDB Endowment_, 11(12): 1849-1962, 2018. + * M. Vuppalapati et al., [Building An Elastic Query Engine on Disaggregated Storage](https://www.usenix.org/conference/nsdi20/presentation/vuppalapati), In _Proc. 17th USENIX Symp. on Networked Systems Design & Implementation,_ pages 449-462, 2020. + | + +
| 6 | +2/13 | +Storage/Memory disaggregation | +Student 5 Student 6 |
+ + + * A. Agiwal et al., [Napa: Powering Scalable Data Warehousing with Robust Query Performance at Google](https://doi.org/10.14778/3476311.3476377), 14(12): 2986-2998, 2021. + * Y, Shan et al., [LegoOS: A Disseminated, Distributed OS for Hardware Resource Disaggregation](https://www.usenix.org/conference/osdi18/presentation/shan), In _Proc. 14th USENIX Symp. on Operating System Design and Implementation_, pages 69-87, 2018. + | + +
| 7 | +2/20 | +No class -- Reading Week | ++ | + + |
| 8 | +2/27 | +/Memory disaggregation | +Student 7 Student 8 |
+ + + * Y. Zhang et al., [Towards Cost-Effective and Elastic Cloud Database Deployment via Memory Disaggregation](https://doi.org/10.14778/3467861.3467877), _Proc. VLDB Endowment_, 14(10): 1900 - 1912, 2021. + * Wei Cao et al., [PolarDB Serverless: A Cloud Native Database for Disaggregated Data Centers](https://doi.org/10.1145/3448016.3457560), In _Proc. ACM SIGMOD Int. Conf. Management of Data_, pages 2477–2489, 2021. + | + +
| 9 | +3/5 | +/Memory disaggregation | +Student 9 Student 10 |
+ + + *Q. Zhang et al., [Understanding the Effect of Data Center Resource Disaggregation on Production DBMSs](https://doi.org/10.14778/3397230.3397249), _Proc. VLDB Endowment_, 13(9): 1568-1581, 2020. + * Q. Zhang et al., [Redy: Remote Dynamic Memory Cache](https://doi.org/10.14778/3503585.3503587), _Proc. VLDB Endowment_, 15(4): 766 - 779, 2022. + | + +
| 10 | +3/12 | +/Hardware accelerators | +Student 11 Student 12 |
+ + + *C. Lutz et al., [Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects](https://doi.org/10.1145/3318464.3389705), In _Proc. ACM SIGMOD Int. Conf. Management of Data_, pages 1633–1649, 2020. + * L. Hu et al., [GAMMA: A Graph Pattern Mining Framework for Large Graphs on GPU](https://ieeexplore.ieee.org/document/10184586), In _IEEE 39th International Conference on Data Engineering_, 2023. + | + +
| 11 | +3/19 | +/Hardware accelerators | +Student 13 Student 14 |
+ + + *. Korilija et al, [Farview: Disaggregated Memory with Operator Off-loading for Database Engines](https://www.cidrdb.org/cidr2022/papers/p11-korolija.pdf), In _Proc. 12th Conf. on Innovative Data Syst. Research_, 2022. + * One more + | + +
| 12 | +3/26 | +/Project presentations | ++ | + + |
| 13 | +4/2 | +/Project presentations | ++ | + + |