IFO4
Loading...Investigate the microeconomics and market dynamics of cloud computing to inform better pricing, procurement, and cost management strategies.
Cloud Pricing Elasticity Index - measuring how provider pricing responds to demand
Total Cost of Ownership Benchmark - standardized TCO comparison across deployment models
Spot Market Dynamics - real-time analysis of spot pricing across providers and regions
Develop and evaluate machine learning approaches to cloud cost prediction, anomaly detection, and automated optimization.
Deep Learning Cost Forecaster - comparing architectures for multi-horizon spend prediction
Anomaly Detection Benchmark - evaluating detection algorithms across cost data categories
RL-Based Resource Optimizer - reinforcement learning for real-time allocation decisions
Study cloud financial management in public sector contexts, including procurement regulations, compliance, and multi-agency governance.
Federal Cloud Procurement Study - analyzing procurement efficiency across agencies
Compliance Cost Analysis - measuring the financial impact of security compliance on cloud costs
Multi-Agency Governance Framework - designing shared services models for government cloud
All labs share access to a comprehensive set of data resources and computing infrastructure.
Anonymized enterprise cloud billing data from multiple industries and cloud providers. Updated monthly with new contributions.
Research-grade accounts on AWS, Azure, and GCP for experimentation, benchmarking, and tool development.
GPU cluster for ML model training, large-scale data processing, and simulation workloads.
Historical cloud pricing data across all major providers, regions, and service types dating back 5+ years.
Jupyter Hub environment with pre-configured libraries, datasets, and visualization tools for rapid experimentation.
Internal pre-print server for working papers, peer review workflow, and publication pipeline to external venues.
Our research labs collaborate with cloud providers, enterprises, and academic institutions worldwide.
Partnerships with major cloud providers for data access, research grants, and joint publication opportunities. Providers benefit from independent analysis of their pricing and service economics.
Anonymized data sharing agreements with enterprises that contribute cloud billing data for research. Partners receive early access to research findings and optimization recommendations.
Joint research projects with universities worldwide. Faculty exchange programs, shared datasets, and co-authored publications across institutions.
Research tools and datasets are released as open source where possible. Lab teams contribute to FinOps open source projects and tooling.
Faculty and PhD students can submit research proposals for lab-hosted projects. Funded proposals receive cloud credits and data access.
Join a lab as a full-time research fellow. 2-3 year funded positions with industry placement opportunities.
Enterprises can contribute anonymized billing data to support research. Contributors receive early access to findings.
Spend a semester embedded in one of our labs. Available to faculty and senior PhD students from partner institutions.