LabCompass

Guocong Quan

Computer Science · The Ohio State University

Early career · publishing since 2017

Publications

20

Citations

101

Est. group size

~2

Recurring co-author estimate

Active years

10

Publishing since 2017

Research summary
AI-generated

Guocong Quan's research focuses on caching systems, which are the mechanisms computers and networks use to temporarily store frequently accessed data so it can be retrieved faster. Their work develops mathematical models and algorithms to optimize how content is cached and prefetched at network edges (servers closer to users) in order to reduce delays and operating costs, including analysis of the widely-used LRU (Least Recently Used) caching strategy under various conditions like unreliable connections and shared resources.

Edge and content caching optimizationLRU cache algorithm analysisPrefetching strategiesOnline learning for resource managementDistributed systems performance

Publication output was highest around 2018-2019 and has since slowed to about one paper per year on average over the last five years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 1.0/year recently
2017: 1 publication172018: 6 publications6182019: 5 publications192020: 2 publications202021: 1 publication212022: 1 publication222023: 1 publication232024: 2 publications24252026: 1 publication26
Recent publications
Publishes in
  • ACM SIGMETRICS Performance Evaluation Review×4
  • IEEE/ACM Transactions on Networking×3
  • arXiv (Cornell University)×3
  • Proceedings of the ACM on Measurement and Analysis of Computing Systems×2
  • Performance Evaluation×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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