Markos Markakis

According to our database, Markos Markakis authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

CoRR, June, 2025

Causal DAG Summarization (Full Version).

Anna Zeng, Michael J. Cafarella, Batya Kenig, Markos Markakis, Brit Youngmann, Babak Salimi

CoRR, April, 2025

Causal DAG Summarization.

Anna Zeng, Michael J. Cafarella, Batya Kenig, Markos Markakis, Brit Youngmann, Babak Salimi

Proc. VLDB Endow., February, 2025

Improving DBMS Scheduling Decisions with Fine-grained Performance Prediction on Concurrent Queries - Extended.

Ziniu Wu, Markos Markakis, Chunwei Liu, Peter Baile Chen, Balakrishnan Narayanaswamy, Tim Kraska, Samuel Madden

CoRR, January, 2025

Virtualizing Cloud Data Infrastructures with BRAD.

Geoffrey X. Yu, Ziniu Wu, Ferdi Kossmann, Tianyu Li, Markos Markakis, Amadou Ngom, Sophie Zhang, Tim Kraska, Samuel Madden

Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

CausaLens: A System for Summarizing Causal DAGs.

Noam Chen, Anna Zeng, Michael J. Cafarella, Batya Kenig, Markos Markakis, Oren Mishali, Brit Youngmann, Babak Salimi

Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

2024

From Logs to Causal Inference: Diagnosing Large Systems.

Markos Markakis, Brit Youngmann, Trinity Gao, Ziyu Zhang, Rana Shahout, Peter Baile Chen, Chunwei Liu, Ibrahim Sabek, Michael J. Cafarella

Proc. VLDB Endow., October, 2024

Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD.

Geoffrey X. Yu, Ziniu Wu, Ferdinand Kossmann, Tianyu Li, Markos Markakis, Amadou Latyr Ngom, Samuel Madden, Tim Kraska

Proc. VLDB Endow., July, 2024

Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD - Extended Version.

Geoffrey X. Yu, Ziniu Wu, Ferdi Kossmann, Tianyu Li, Markos Markakis, Amadou Ngom, Samuel Madden, Tim Kraska

CoRR, 2024

Sawmill: From Logs to Causal Diagnosis of Large Systems.

Markos Markakis, An Bo Chen, Brit Youngmann, Trinity Gao, Ziyu Zhang, Rana Shahout, Peter Baile Chen, Chunwei Liu, Ibrahim Sabek, Michael J. Cafarella

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

Press ECCS to Doubt (Your Causal Graph).

Markos Markakis, Ziyu Zhang, Rana Shahout, Trinity Gao, Chunwei Liu, Ibrahim Sabek, Michael J. Cafarella

Proceedings of the Conference on Governance, 2024

2023

Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes.

Tim Kraska, Tianyu Li, Samuel Madden, Markos Markakis, Amadou Ngom, Ziniu Wu, Geoffrey X. Yu

Proc. VLDB Endow., 2023

2022

TreeLine: An Update-In-Place Key-Value Store for Modern Storage.

Geoffrey X. Yu, Markos Markakis, Andreas Kipf, Per-Åke Larson, Umar Farooq Minhas, Tim Kraska

Proc. VLDB Endow., 2022

2020

PerpLE: Improving the Speed and Effectiveness of Memory Consistency Testing.

Themis Melissaris, Markos Markakis, Kelly A. Shaw, Margaret Martonosi

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020