Tania Lorido-Botran

According to our database, Tania Lorido-Botran authored at least 14 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DeePref: Deep Reinforcement Learning For Video Prefetching In Content Delivery Networks.

Nawras Alkassab, Chin-Tser Huang, Tania Lorido-Botran

CoRR, 2023

MSF-Model: Modeling Metastable Failures in Replicated Storage Systems.

Farzad Habibi, Tania Lorido-Botran, Ahmad Showail, Daniel C. Sturman, Faisal Nawab

CoRR, 2023

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

Saeid Ghafouri, Kamran Razavi, Mehran Salmani, Alireza Sanaee, Tania Lorido-Botran, Lin Wang, Joseph Doyle, Pooyan Jamshidi

CoRR, 2023

Scaling the Metaverse: An AI Perspective.

Tania Lorido-Botran

Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Keynote Speech 4 Metaverse, Metastability and Beyond.

Tania Lorido-Botran

Proceedings of the Eighth International Conference on Fog and Mobile Edge Computing, 2023

Metastability in the Metaverse.

Tania Lorido-Botran

Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems, 2023

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

Victoria Huang, Shaleeza Sohail, Michael Mayo, Tania Lorido-Botran, Mark Rodrigues, Chris Anderson, Melanie Ooi

Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023

2021

ImpalaE: Towards an optimal policy for efficient resource management at the edge.

Tania Lorido-Botran, Muhammad Khurram Bhatti

Proceedings of the Joint Proceedings of the Workshops on Quantum Information Technologies and Edge Computing (QuaInT+doors 2021), 2021

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

Tania Lorido-Botran, Muhammad Khurram Bhatti

Proceedings of the Advanced Information Networking and Applications, 2021

2018

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

Jia Zou, R. Matthew Barnett, Tania Lorido-Botran, Shangyu Luo, Carlos Monroy, Sourav Sikdar, Kia Teymourian, Binhang Yuan, Chris Jermaine

Proceedings of the 2018 International Conference on Management of Data, 2018

2017

An unsupervised approach to online noisy-neighbor detection in cloud data centers.

Tania Lorido-Botran, Sergio Huerta, Luis Tomás, Johan Tordsson, Borja Sanz

Expert Syst. Appl., 2017

2015

Towards a Greener Cloud Infrastructure Management using Optimized Placement Policies.

Jose Antonio Pascual, Tania Lorido-Botran, José Miguel-Alonso, José Antonio Lozano

J. Grid Comput., 2015

2014

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

Tania Lorido-Botran, José Miguel-Alonso, José Antonio Lozano

J. Grid Comput., 2014

Optimization of Application Placement Towards a Greener Cloud Infrastructure.

Tania Lorido-Botran, Jose Antonio Pascual, José Miguel-Alonso, José Antonio Lozano

Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014