EDBT 2026 Demo / reviewers in the wild / expert
Pinghe Li
dblp:336/7223
· DBLP profile ↗
3ranked-venue papers
1as first author
3since 2021 · last 2026
0009-0003-9904-7879ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 first-author · 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 architecture, parallel and distributed computing, and storage systems
2 papers |
Cloud and datacenter computing · 100% | |
| Software engineering, system software, and programming languages
2 papers |
Services computing and microservices · 74% Operating systems · 26% |
Topics — the 6 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cloud and datacenter computing
cluster resource management and scheduling |
0.9 | 1 | 2025 | Unlocking True Elasticity for the Cloud-Native Era with Dandelion · SOSP 2025 |
Cloud and datacenter computing › serverless computing
cold start mitigation |
0.9 | 1 | 2025 | Unlocking True Elasticity for the Cloud-Native Era with Dandelion · SOSP 2025 |
Cloud and datacenter computing › serverless computing
function-as-a-service |
0.9 | 1 | 2025 | Unlocking True Elasticity for the Cloud-Native Era with Dandelion · SOSP 2025 |
Cloud and datacenter computing
serverless computing |
0.9 | 1 | 2025 | Unlocking True Elasticity for the Cloud-Native Era with Dandelion · SOSP 2025 |
Cloud and datacenter computing › cluster resource management and scheduling
cluster resource management |
0.8 | 1 | 2024 | Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted Microservices · NSDI 2024 |
Cloud and datacenter computing › microservices
microservice resource management |
0.8 | 1 | 2024 | Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted Microservices · NSDI 2024 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | End-to-End Declarative Data Analytics: Co-designing Engines, Interfaces, and Cloud Infrastructure
Pinghe Li, Tom Kuchler, Marko Kabic, Tobias Stocker, Gustavo Alonso, Ana Klimovic |
CIDR | 1 |
| 2025 | Unlocking True Elasticity for the Cloud-Native Era with DandelionabstractElasticity is fundamental to cloud computing. An elastic platform can quickly allocate resources to match the demand of each workload as it arrives, rather than pre-provisioning resources to meet performance objectives. However, even serverless platforms — which boot sandboxes in 10s to 100s of milliseconds — are not sufficiently elastic to avoid pre-provisioning expensive resources. Today's FaaS platforms provision many extra, idle sandboxes in memory to reduce the occurrence of slow, cold starts. Initializing securely isolated sandboxes with a POSIX-like computing environment that today's cloud users expect is slow as it requires booting a guest OS and configuring networking. Tom Kuchler, Pinghe Li, Yazhuo Zhang, Lazar Cvetkovich, Boris Goranov, Tobias Stocker, Leon Thomm, Simone Kalbermatter, Tim Notter, Andrea Lattuada 0001, Ana Klimovic |
SOSP | 2 |
| 2024 | Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted Microservices
Pinghe Li, Chieh-Jan Mike Liang, Francis Y. Yan |
NSDI | 2 |