New papers and publications
Our group won the 2026 CIDR Best Paper Award for our paper, “Survivorship Bias in Industrial Database Workloads.” As we look at our workload logs now, how can we possibly predict the query the user wants to run, but cannot run? Marcus et al., “Survivorship Bias in Industrial Database Workloads” Read more
This year, at VLDB 2025, Penn will be well-represented with a variety of papers. CausalMesh: A Causal Cache for Stateful Serverless Computing: Haoran Zhang (University of Pennsylvania); Shuai Mu (Stony Brook University); Sebastian Angel (University of Pennsylvania); Vincent Liu (University of Pennsylvania). In stateful serverless computing, workflows are broken into Read more
The Penn Database and Data Systems Group is well-represented at SIGMOD 2025! At the aiDM workshop, co-chaired by our own Ryan Marcus, there are two papers: At the main SIGMOD conference, the following papers will be presented. Low Rank Learning for Offline Query OptimizationZixuan Yi (University of Pennsylvania)*; Yao Tian Read more
This August, VLDB 2024 will be in Guangzhou, China! Penn will again be well-represented, with 3 papers in the Research Track: In Towards Full Stack Adaptivity in Permissioned Blockchains, PhD student Chenyuan Wu, postdoc alumnus Mohammad Javad Amiri (Stony Brook University), undergrad student Haoyun Qin (Class of 2025), PhD student Read more
The Penn DB Group presented a number of papers at SIGMOD 2024, hosted in Santiago, Chile! Penn presented five papers (four in SIGMOD and one in aiDM). Ph.D. student Soonbo Han (advisor: Zachary Ives) presented his work titled “Implementation Strategies for Views over Property Graphs,” which won the best paper Read more
The Penn Database Group recently returned from VLDB in lovely Vancouver! Penn students, faculty, and collaborators presented three research papers and two workshop papers at the conference. Ph.D. student Chenyuan Wu (supervisor: Boon Thau Loo) presented work on FlexChain and AdaChain. FlexChain (PDF) is the first work to present a Read more