Demo Data from EDBT 2026 / reviewers in the wild / expert
KK Yap
dblp:367/0886
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0000-0001-5368-1063ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 since 2021
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.
| Computer networks
1 paper |
Internet of things and sensor networks · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks
time synchronization |
0.9 | 1 | 2025 | Firefly: Scalable, Ultra-Accurate Clock Synchronization for Datacenters · SIGCOMM 2025 |
Distributed systems
clock synchronization |
0.9 | 1 | 2025 | Firefly: Scalable, Ultra-Accurate Clock Synchronization for Datacenters · SIGCOMM 2025 |
Methods — techniques the papers use, named apart from their topics
layered synchronization · 1.7distributed consensus · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Firefly: Scalable, Ultra-Accurate Clock Synchronization for DatacentersabstractCloud-based financial exchanges require sub-10ns device-to-device clock synchronization accuracy while adhering to Coordinated Universal Time (UTC). Existing clock sync techniques struggle to meet this demand at scale and are vulnerable to clock drift, jitter, and path asymmetries. Firefly, a software-driven datacenter clock sync system, scalably, cost-effectively, and reliably achieves very high clock sync accuracy. It employs a distributed consensus algorithm on a random overlay graph to rapidly converge to a common time while applying gradual adjustments to device hardware clocks. To realize consistent sync-to-UTC (external sync) across devices while maintaining a stable device-to-device internal sync, Firefly uses a novel technique, layered synchronization, that decouples internal and external syncs. In a 248-machine Clos network, Firefly achieves sub-10ns device-to-device and ≤1μs device-to-UTC sync, and is resilient to time server failure and unstable clocks. Pooria Namyar, Nandita Dukkipati, KK Yap, Junzhi Gong, Peixuan Gao, Devdeep Ray, Gautam Kumar 0001, Ramesh Govindan, Amin Vahdat |
SIGCOMM | 5 |