Computer Science and Artificial Intelligence
Laboratory
Massachusetts Institute of Technology
32 Vassar Street
Cambridge, MA 02139
Email: [My Last Name] (at) mit.edu
Publications
 
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14. AutoSLO: Practical Latency SLOs on
Cloud Data Warehouses
Markos Markakis, Tim Kraska Under Revision for Proceedings of the VLDB Endowment 20 (4) (VLDB 2027) |
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13. Towards Practical Latency SLOs on
Cloud Data Warehouses [Extended
Abstract]
Markos Markakis, Tim Kraska 7th International Workshop on Applied AI for Database Systems and Applications (AIDB 2026 @ VLDB 2026) |
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12. KramaBench: A Benchmark for AI
Systems on Data-to-Insight Pipelines over
Data Lakes
Eugenie Lai, Gerardo Vitagliano, Ziyu Zhang, Sivaprasad Sudhir, Om Chabra, Anna Zeng, Anton A. Zabreyko, Chenning Li, Ferdi Kossmann, Jialin Ding, Jun Chen, Markos Markakis, Matthew Russo, Weiyang Wang, Ziniu Wu, Michael J. Cafarella, Lei Cao, Samuel Madden, Tim Kraska 2026 International Conference on Learning Representations (ICLR 2026) |
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11. Improving DBMS Scheduling Decisions
with Fine-grained Performance Prediction
on Concurrent Queries
Ziniu Wu, Markos Markakis, Chunwei Liu, Peter Baile Chen, Balakrishnan (Murali) Narayanaswamy, Tim Kraska, Samuel Madden Proceedings of the VLDB Endowment 18 (11), 4185 - 4198 (VLDB 2025) |
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10. Causal DAG Summarization
Anna Zeng, Michael Cafarella, Batya Kenig, Markos Markakis, Brit Youngmann, Babak Salimi Proceedings of the VLDB Endowment 18 (6), 1933 - 1947 (VLDB 2025) |
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9. From Logs to Causal Inference:
Diagnosing Large Systems 🎉 Best of VLDB 2025 Pick Markos Markakis, Brit Youngmann, Trinity Gao, Ziyu Zhang, Rana Shahout, Peter Baile Chen, Chunwei Liu, Ibrahim Sabek, Michael Cafarella Proceedings of the VLDB Endowment 18 (2), 158 - 172 (VLDB 2025) |
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8. Virtualizing Cloud Data
Infrastructures with BRAD [Demo]
Geoffrey X. Yu, Ziniu Wu, Ferdi Kossmann, Tianyu Li, Markos Markakis, Amadou Ngom, Sophie Zhang, Samuel Madden, Tim Kraska 2025 International Conference on Management of Data (SIGMOD 2025) |
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7. CausaLens: A System for Summarizing
Causal DAGs [Demo]
Noam Chen, Anna Zeng, Michael Cafarella, Batya Kenig, Markos Markakis, Oren Mishali, Brit Youngmann, Babak Salimi 2025 International Conference on Management of Data (SIGMOD 2025) |
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6. Blueprinting the Cloud: Unifying and
Automatically Optimizing Cloud Data
Infrastructures with BRAD
Geoffrey X. Yu, Ziniu Wu, Ferdi Kossmann, Tianyu Li, Markos Markakis, Amadou Ngom, Samuel Madden, Tim Kraska Proceedings of the VLDB Endowment 17 (11), 3629 - 3643 (VLDB 2024) |
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5. Press ECCS to Doubt (Your Causal
Graph)
🎉 Best Paper Markos Markakis, Ziyu Zhang, Rana Shahout, Trinity Gao, Chunwei Liu, Ibrahim Sabek, Michael Cafarella 2024 Workshop on Governance, Understanding and Integration of Data for Effective and Responsible AI (GUIDE-AI 2024 @ SIGMOD 2024) |
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4. Sawmill: From Logs to Causal
Diagnosis of Large Systems
[Demo]
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3. Check Out the Big Brain on BRAD:
Simplifying Cloud Data Processing with
Learned Automated Data Meshes
[Vision]
Tim Kraska*, Tianyu Li*, Samuel Madden*, Markos Markakis*, Amadou Ngom*, Ziniu Wu*, Geoffrey X. Yu* Proceedings of the VLDB Endowment 16 (11), 3293-3301 (VLDB 2023) |
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2. TreeLine: An Update-In-Place
Key-Value Store for Modern
Storage
Geoffrey X. Yu*, Markos Markakis*, Andreas Kipf*, Per-Ake Larson, Umar Farooq Minhas, Tim Kraska Proceedings of the VLDB Endowment 16 (1), 99-112 (VLDB 2023) |
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1. PerpLE: Improving the Speed and
Effectiveness of Memory Consistency
Testing
Themis Melissaris, Markos Markakis, Kelly Shaw, Margaret Martonosi 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO 2020) |
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0. The use of Indocyanine green in
endocrine surgery of the neck: A systematic
review
Nina Maria Fanaropoulou, Angeliki Chorti, Markos Markakis, Maria Papaioannou, Antonios Michalopoulos, Theodosios Papavramidis Medicine 98 (10) (Medicine 2019) |
Theses
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Diagnosing and Managing Performance in
Data Systems
Markos Markakis PhD Thesis at the Massachusetts Institute of Technology |
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Rethinking Update-in-Place Key-Value
Stores for Modern Storage
Markos Markakis SM Thesis at the Massachusetts Institute of Technology |
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Challenges and Opportunities in
Heterogeneous Parallelism
Markos Markakis BSE Thesis at Princeton University |