About me

I am a software engineer at Neo4j working in the Clustering team.

I am also a Computer Science PhD student at Newcastle University where I’m part of the Scalable Computing Group and the Cloud Computing for Big Data Centre for Doctoral Training. My main research interest is distributed database systems, specifically transaction management and replication.

My undergraduate and masters degrees were completed at Lancaster University in Economics Mathematics and Statistics respectively. Outside of my research I enjoy playing football and I’m also a qualified CSIA Level 2 ski instructor.

I am also the host of Disseminate: The Computer Science Research Podcast a podcast featuring interviews with authors of the latest Computer Science papers. Listen on Spotify, Amazon, Google, YouTube and Apple.

[CV] [GitHub] [Twitter] [LinkedIn] [DBLP] [Google Scholar] [YouTube]

News

• 2023
  • Feb: I was a program committee member of the 10th Workshop on Principles and Practice of Consistency for Distributed Data (PaPoC).
  • Feb: I was invited by Vaibhav Arora to give a talk on “Epoch-based Commit Protocols in Distributed Databases” to the Salesforce Database Reading Group.
• 2022
  • Dec: Our paper “The LDBC Social Network Benchmark: Business Intelligence Workload” was accepeted to VLDB’23.
  • Oct: I attended HPTS’22 (invitation only).
  • Aug: Disseminate: The Computer Science Research Podcast Season 1 (SIGMOD’22) was completed.
  • Aug: I (re-)joined the Neo4j clustering team as a software engineer.
  • July: Our paper “Pick & Mix Isolation Levels: Mixed Serialization Graph Testing” was accepted to TPCTC at VLDB’22.
  • July: My paper “High Performance Mixed Graph-Based Concurrency Control” was accepted to the PhD Workshop at VLDB’22.
  • June: I launched Disseminate: The Computer Science Research Podcast a podcast aimed at making Computer Science research more accessible, helping bridge the gap between academia and industry.
  • June: Our paper “A Performance Study of Epoch-based Commit Protocols in Distributed OLTP Databases” was accepted at SRDS’22.
  • June: I co-organized the 15th LDBC TUC meeting co-located with SIGMOD’22.
  • May: I conducted (another) research visit to CWI Amsterdam, working with Gábor Szárnyas on the LDBC Social Network Benchmark.
  • Feb: I conducted a research visit to CWI Amsterdam, working with Gábor Szárnyas on the LDBC Social Network Benchmark.
• 2021
  • Nov: I was a program committee member of the 6th UK System Research Challenges Workshop.
  • Oct: I curated a selection of materials discussing transactional and non-transactional consistency models.
  • Aug-Dec: I was an intern at Neo4j as part of the clustering team.

Publications

The LDBC Social Network Benchmark: Business Intelligence Workload
Gábor Szárnyas, Jack Waudby, Benjamin A. Steer, Dávid Szakállas, Altan Birler, Mingxi Wu, Yuchen Zhang, Peter Boncz. To Appear In: Proceedings of VLDB, 2023.

Pick & Mix Isolation Levels: Mixed Serialization Graph Testing
Jack Waudby, Paul Ezhilchelvan, Jim Webber. To Appear In: Proceedings of TPCTC@VLDB, 2022.
[video] [slides] [code]

High Performance Mixed Graph-Based Concurrency Control
Jack Waudby. Proceedings of VLDB PhD Workshop, 2022.
[video] [slides] [code]

A Performance Study of Epoch-based Commit Protocols in Distributed OLTP Databases
Jack Waudby, Paul Ezhilchelvan, Isi Mitrani, Jim Webber. Proceedings of SRDS, 2022.
[video] [slides] [code]

LSQB: A Large-Scale Subgraph Query Benchmark
Amine Mhedhbi, Matteo Lissandrini, Laurens Kuiper, Jack Waudby, Gábor Szárnyas. Proceedings of GRADES-NDA@SIGMOD, 2021.
[code]

Towards Testing ACID Compliance in the LDBC Social Network Benchmark
Jack Waudby, Benjamin A. Steer, Karim Karimov, József Marton, Peter Boncz, Gábor Szárnyas. Proceedings of TPCTC@VLDB, 2020.
[video] [slides] [code]

Supporting Dynamic Graphs and Temporal Entity Deletions in the LDBC Social Network Benchmark’s Data Generator
Jack Waudby, Benjamin A. Steer, Arnau Prat-Pérez, Gábor Szárnyas. Proceedings of GRADES-NDA@SIGMOD, 2020.
[code]

Preserving Reciprocal Consistency in Distributed Graph Databases
Jack Waudby, Paul Ezhilchelvan, Jim Webber, Isi Mitrani. Proceedings of PaPoC@EuroSys, 2020.
[video] [slides] [code]

Design and Evaluation of an Edge Concurrency Control Protocol for Distributed Graph Databases
Paul Ezhilchelvan, Isi Mitrani, Jack Waudby, Jim Webber. European Workshop on Performance Engineering, 2019.
[slides] [code]

Preprints

The LDBC Social Network Benchmark
Renzo Angles, János Benjamin Antal, Alex Averbuch, Peter Boncz, Orri Erling, Andrey Gubichev, Vlad Haprian, Moritz Kaufmann, Josep Lluís Larriba Pey, Norbert Martínez, József Marton, Marcus Paradies, Minh-Duc Pham, Arnau Prat-Pérez, Mirko Spasić, Benjamin A. Steer, Gábor Szárnyas, Jack Waudby. CoRR abs/2001.02299, 2020.

Awards

Placed 2nd in Newcastle University School of Computing PhD Poster Competition. Corruption in Distributed Graph Databases, 2019.

Tessella Industrial Prize for Best Computational MSc Statistics project, 2016.