Others (7)
- S Tuli, S Gill, P Garraghan, R Buyya, G Casale, N Jennings, START: Straggler Prediction and Mitigation for Cloud Computing Environments using Encoder LSTM Networks, IEEE Transactions on Services Computing,
- Z Niu, G Casale, A Mixture Density Network approach to predicting response times in layered systems, IEEE MASCOTS 2021,
- M Sheldon, G Casale, TauSSA: simulating markovian queueing networks with Tau leaping, ACM SIGMETRICS Performance Evaluation Review, TOSME workshop,
- Y Chen, G Casale, Deep learning models for automated identification of scheduling policies, IEEE MASCOTS 2021,
- L Zhu, G Giotis, V Tountopoulos, G Casale, RDOF: deployment optimization for function as a service, IEEE CLOUD 2021,
- G Russo Russo, V Cardellini, G Casale, F Lo Presti, MEAD: model-based vertical auto-scaling for data stream processing, The 21st IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid 2021),
- S Tuli, S Pooyara, S Srirama, G Casale, N Jennings, COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments, IEEE Transactions on Parallel and Distributed Systems,
2021 (3)
- G Casale, PG Harrison, WH Ong, Facilitating load-dependent queueing analysis through factorization, PERFORMANCE EVALUATION, volume 152, 2021
- I Perez, G Casale, VARIATIONAL INFERENCE FOR MARKOVIAN QUEUEING NETWORKS, ADVANCES IN APPLIED PROBABILITY, volume 53, pp.687–715, 2021
- A Alnafessah, A Ul Gias, R Wang, L Zhu, G Casale, A Filieri, Quality-Aware DevOps Research: Where Do We Stand?, IEEE ACCESS, volume 9, pp.44476–44489, 2021
