| 2025 | HPDC | SibylOpt: Managing Green Data Centers Using Off-Online Deep Reinforcement Learning. | Ning Gu, Kuo Zhang, Thu D. Nguyen, Peijian Wang, Tania Lorido-Botran |
| 2025 | SIGIR | Techie: Tackling Video Prefetching at Edge Networks as POMDP Via an Intrinsically Motivated RL Agent. | Nawras Alkassab, Chin-Tser Huang, Tania Lorido-Botran |
| 2024 | ICCCN | DeePref: Deep Reinforcement Learning For Video Prefetching In Content Delivery Networks. | Nawras Alkassab, Chin-Tser Huang, Tania Lorido-Botran |
| 2024 | WWW | GAMMA: Graph Neural Network-Based Multi-Bottleneck Localization for Microservices Applications. | Gagan Somashekar, Anurag Dutt, Mainak Adak, Tania Lorido-Botran, Anshul Gandhi |
| 2024 | SRDS | 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 |
| 2021 | AINA | Adaptive Container Scheduling in Cloud Data Centers: A Deep Reinforcement Learning Approach. | Tania Lorido-Botran, Muhammad Khurram Bhatti |
| 2018 | SIGMOD | 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 |