T. Lorido-Botran

PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development

Chris Jermaine, Shangyu Luo, Binhang Yuan, 2017, SIGMOD Conference.

Towards a Greener Cloud Infrastructure Management using Optimized Placement Policies

José Antonio Lozano, José Miguel-Alonso, Jose Antonio Pascual, 2015, Journal of Grid Computing.

A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments

José Antonio Lozano, José Miguel-Alonso, Tania Lorido-Botran, 2014, Journal of Grid Computing.

Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients

S. Sohail, Victoria Huang, Michael Mayo, 2023, ArXiv.

IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency

Pooyan Jamshidi, Lin Wang, Saeid Ghafouri, 2023, 2308.12871.

Adaptive Container Scheduling in Cloud Data Centers: A Deep Reinforcement Learning Approach

Muhammad Khurram Bhatti, Tania Lorido-Botran, T. Lorido-Botran, 2021, AINA.

IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency

Pooyan Jamshidi, Saeid Ghafouri, Alireza Sanaee, 2023, Journal of Systems Research.