Franco Solleza Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

John Brown University

unknown

2 h-index 6 pubs 52 cited

Research Areas

Anomaly Detection Techniques and Applications Data Visualization and Analytics Time Series Analysis and Forecasting Advanced Database Systems and Queries Parallel Computing and Optimization Techniques

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OverviewAI-generated summary

Franco Solleza's work encompasses anomaly detection, data visualization, and time series analysis, with a focus on applications within advanced database systems and parallel computing. His research tackles the challenges of managing and analyzing large-scale, heterogeneous time-series data, as evidenced by publications addressing observability data management and cloud observability. Solleza also explores domain-specific languages, with work published in 2025 on ensuring verifier safety in kernel extension DSLs. Further contributions include the use of high-frequency telemetry to address time-critical issues in complex systems. His current research is centered on optimizing data processing and analysis techniques for complex systems.

Metrics

  • h-index: 2
  • Publications: 6
  • Citations: 52

Selected Publications

  • Kernel Extension DSLs Should Be Verifier-Safe! (2025) DOI
  • Mach: Firefighting Time-Critical Issues in Complex Systems Using High-Frequency Telemetry (2024) DOI
  • Towards Observability Data Management at Scale (2021) DOI

Collaborators

Researchers in the database who share publications

Stan Zdonik John Brown University 3 shared publications Malte Schwarzkopf John Brown University 2 shared publications Justus Adam John Brown University 1 shared publication Akshay Narayan John Brown University 1 shared publication William H. Sun John Brown University 1 shared publication

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