The following datasets and scripts have been released throughout the project:
- Compact Markov-modulated models for multiclass trace fitting
- Quantifying the Impact of Replication on the Quality-of-Service in Cloud Databases – Software
- Quantifying the Impact of Replication on the Quality-of-Service in Cloud Databases – Dataset
- Model-driven Application Refactoring to Minimize Deployment Costs in Preemptible Cloud Resources
- OptiSpot: Minimizing Application Deployment Cost using Spot Cloud Resources
- Maximum Likelihood Estimation of Closed Queueing Network Demands from Queue Length Data – 1st dataset
- Maximum Likelihood Estimation of Closed Queueing Network Demands from Queue Length Data – 2nd dataset
- QD-AMVA: Evaluating systems with queue-dependent service requirements.
- Autonomic Provisioning and Application Mapping on Spot Cloud Resources