Optimization of Application Placement Towards a Greener Cloud Infrastructure. - Tania Lorido-Botran; Jose Antonio Pascual; José Miguel-Alonso; José Antonio Lozano 001 (EvoApplications, 2014)

A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments. - Tania Lorido-Botran; José Miguel-Alonso; José Antonio Lozano 001 (J. Grid Comput., 2014)

Towards a Greener Cloud Infrastructure Management using Optimized Placement Policies. - Jose Antonio Pascual; Tania Lorido-Botran; José Miguel-Alonso; José Antonio Lozano 001 (J. Grid Comput., 2015)

An unsupervised approach to online noisy-neighbor detection in cloud data centers. - Tania Lorido-Botran; Sergio Huerta; Luis Tomás; Johan Tordsson; Borja Sanz 001 (Expert Syst. Appl., 2017)

PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development. - Jia Zou 001; R. Matthew Barnett; Tania Lorido-Botran; Shangyu Luo; Carlos Monroy; Sourav Sikdar; Kia Teymourian; Binhang Yuan; Chris Jermaine (SIGMOD Conference, 2018)

Adaptive Container Scheduling in Cloud Data Centers: A Deep Reinforcement Learning Approach. - Tania Lorido-Botran; Muhammad Khurram Bhatti (AINA (3), 2021)

ImpalaE: Towards an optimal policy for efficient resource management at the edge. - Tania Lorido-Botran; Muhammad Khurram Bhatti (J. Edge Comput., 2022)

Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients. - Victoria Huang 001; Shaleeza Sohail; Michael Mayo; Tania Lorido-Botran; Mark Rodrigues; Chris Anderson; Melanie Ooi (CLOUD, 2023)

Metastability in the Metaverse. - Tania Lorido-Botran (DEBS, 2023)

Keynote Speech 4 Metaverse, Metastability and Beyond. - Tania Lorido-Botran (FMEC, 2023)

Scaling the Metaverse: An AI Perspective. - Tania Lorido-Botran (ICPE (Companion), 2023)

MSF-Model: Modeling Metastable Failures in Replicated Storage Systems. - Farzad Habibi; Tania Lorido-Botran; Ahmad Showail; Daniel C. Sturman; Faisal Nawab (CoRR, 2023)

DeePref: Deep Reinforcement Learning For Video Prefetching In Content Delivery Networks. - Nawras Alkassab; Chin-Tser Huang; Tania Lorido-Botran (ICCCN, 2024)

MSF-Model: Queuing-Based Analysis and Prediction of Metastable Failures in Replicated Storage Systems. - Farzad Habibi; Tania Lorido-Botran; Ahmad Showail; Daniel C. Sturman; Faisal Nawab (SRDS, 2024)

GAMMA: Graph Neural Network-Based Multi-Bottleneck Localization for Microservices Applications. - Gagan Somashekar; Anurag Dutt; Mainak Adak; Tania Lorido-Botran; Anshul Gandhi (WWW, 2024)

TURNIP: A "Nondeterministic" GPU Runtime with CPU RAM Offload. - Zhimin Ding; Jiawen Yao; Brianna Barrow; Tania Lorido-Botran; Christopher M. Jermaine; Yuxin Tang; Jiehui Li; Xinyu Yao; Sleem Mahmoud Abdelghafar; Daniel Bourgeois (CoRR, 2024)

Techie: Tackling Video Prefetching at Edge Networks as POMDP Via an Intrinsically Motivated RL Agent. - Nawras Alkassab; Chin-Tser Huang; Tania Lorido-Botran (SIGIR, 2025)

IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency. - Saeid Ghafouri; Kamran Razavi; Mehran Salmani; Alireza Sanaee; Tania Lorido-Botran; Lin Wang 015; Joseph Doyle; Pooyan Jamshidi (ICPE (Companion), 2025)

LLM-Powered Decentralized Generative Agents with Adaptive Hierarchical Knowledge Graph for Cooperative Planning. - Hanqing Yang 007; Jingdi Chen; Marie Siew; Tania Lorido-Botran; Carlee Joe-Wong (CoRR, 2025)