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Demo Data from VLDB 2026 / reviewers in the wild / expert

Moohyun Song

dblp:361/5673 · DBLP profile ↗
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3ranked-venue papers
1as first author
3since 2021 · last 2027
0009-0003-9392-7808ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 3 · 1 first-author · 3 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
1 paper
Cloud and datacenter computing · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing › resource provisioning
spot instance management		 0.912025
Multi-Node Spot Instances Availability Score Collection System · HPDC 2025
Cloud and datacenter computing › resource management
cloud resource management		 0.312025
Multi-Node Spot Instances Availability Score Collection System · HPDC 2025

Methods — techniques the papers use, named apart from their topics

data collection · 0.9data analysis · 0.9
YearPublicationVenuePosition
2027 ShuntServe: Cost-efficient LLM serving on heterogeneous spot GPU clusters
Seungwoo Jeong, Moohyun Song, Kyungyong Lee
 Future Gener. Comput. Syst.2
2026 Orchestrating WASM-Based MCP Tool Runtimes for AI Agents Across Edge-Cloud Continuum
Moohyun Song, Hayoung Kim, Kyoohyun Lee, Jae Gi Son, Kyungyong Lee 0001
 CCGrid1
2025 Multi-Node Spot Instances Availability Score Collection System
abstract
Spot instances let users access unused cloud resources at significantly reduced costs. While cloud vendors offer availability information, existing tools like Spotlake only provide single-node availability data, which falls short for modern distributed applications. This paper highlighted the limitations of single-node availability data and introduced a multi-node availability dataset collection system. We analyzed the collected data and enhanced Spotlake to share these multi-node datasets publicly for broader use.
Sungkyu Cheon, Kyunghwan Kim, Moohyun Song, Kyungyong Lee 0001
 HPDC4