Demo Data from EDBT 2026 / reviewers in the wild / expert
Greg D. Hill
dblp:168/8302
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1Databases, data management, data science and information retrieval · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Graph data management · 67% Transaction processing and concurrency control · 33% | |
| Computer networks
1 paper |
Transport protocols and congestion control · 50% Internet of things and sensor networks · 50% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Transport protocols and congestion control
congestion control evaluation |
0.3 | 1 | 2018 | Pantheon: the training ground for Internet congestion-control research · USENIX ATC 2018 |
Internet of things and sensor networks › wireless sensor network
testbed |
0.3 | 1 | 2018 | Pantheon: the training ground for Internet congestion-control research · USENIX ATC 2018 |
Graph data management › graph database
distributed graph database |
0.2 | 1 | 2016 | Weaver: A High-Performance, Transactional Graph Database Based on Refinable Timestamps · Proc. VLDB Endow. 2016 |
Graph data management
graph database |
0.2 | 1 | 2016 | Weaver: A High-Performance, Transactional Graph Database Based on Refinable Timestamps · Proc. VLDB Endow. 2016 |
Transaction processing and concurrency control › serializability
strict serializability |
0.2 | 1 | 2016 | Weaver: A High-Performance, Transactional Graph Database Based on Refinable Timestamps · Proc. VLDB Endow. 2016 |
Methods — techniques the papers use, named apart from their topics
testbed design · 0.3benchmarking · 0.3vector timestamps · 0.2timeline oracle · 0.2refinable timestamps · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Pantheon: the training ground for Internet congestion-control research
Francis Y. Yan, Jestin Ma, Greg D. Hill, Deepti Raghavan, Riad S. Wahby, Philip Alexander Levis, Keith Winstein |
USENIX ATC | 3 |
| 2016 | Weaver: A High-Performance, Transactional Graph Database Based on Refinable TimestampsabstractGraph databases have become a common infrastructure component. Yet existing systems either operate on offline snapshots, provide weak consistency guarantees, or use expensive concurrency control techniques that limit performance. In this paper, we introduce a new distributed graph database, called Weaver, which enables efficient, transactional graph analyses as well as strictly serializable ACID transactions on dynamic graphs. The key insight that allows Weaver to combine strict serializability with horizontal scalability and high performance is a novel request ordering mechanism called refinable timestamps. This technique couples coarse-grained vector timestamps with a fine-grained timeline oracle to pay the overhead of strong consistency only when needed. Experiments show that Weaver enables a Bitcoin blockchain explorer that is 8x faster than Blockchain.info, and achieves 10.9x higher throughput than the Titan graph database on social network workloads and 4x lower latency than GraphLab on offline graph traversal workloads. Ayush Dubey, Greg D. Hill, Robert Escriva, Emin Gün Sirer |
Proc. VLDB Endow. | 2 |