| A review of auto-scaling techniques for elastic applications in cloud environments T Lorido-Botran, J Miguel-Alonso, JA Lozano Journal of grid computing 12, 559-592, 2014 | 861 | 2014 |
| Auto-scaling techniques for elastic applications in cloud environments T Lorido-Botrán, J Miguel-Alonso, JA Lozano Department of Computer Architecture and Technology, University of Basque …, 2012 | 185 | 2012 |
| Indoor navigation and product recognition for blind people assisted shopping D López-de-Ipiña, T Lorido, U López Ambient Assisted Living: Third International Workshop, IWAAL 2011, Held at …, 2011 | 96 | 2011 |
| Blindshopping: enabling accessible shopping for visually impaired people through mobile technologies D López-de-Ipiña, T Lorido, U López Toward Useful Services for Elderly and People with Disabilities: 9th …, 2011 | 78 | 2011 |
| Towards a greener cloud infrastructure management using optimized placement policies JA Pascual, T Lorido-Botrán, J Miguel-Alonso, JA Lozano Journal of Grid Computing 13, 375-389, 2015 | 43 | 2015 |
| Comparison of auto-scaling techniques for cloud environments TL Botrán, JM Alonso, JA Lozano Actas de las XXIV Jornadas de Paralelismo, 187-192, 2013 | 28 | 2013 |
| PlinyCompute: A platform for high-performance, distributed, data-intensive tool development J Zou, RM Barnett, T Lorido-Botran, S Luo, C Monroy, S Sikdar, ... Proceedings of the 2018 International Conference on Management of Data, 1189 …, 2018 | 27 | 2018 |
| An unsupervised approach to online noisy-neighbor detection in cloud data centers T Lorido-Botran, S Huerta, L Tomás, J Tordsson, B Sanz Expert Systems with Applications 89, 188-204, 2017 | 22 | 2017 |
| ImpalaE: Towards an optimal policy for efficient resource management at the edge T Lorido-Botran, MK Bhatti Edge Computing Workshop (doors) 2021 2850, 71-82, 2021 | 14 | 2021 |
| Adaptive Container Scheduling in Cloud Data Centers: A Deep Reinforcement Learning Approach T Lorido-Botran, MK Bhatti Advanced Information Networking and Applications. AINA 2021. 227, 572-581, 2021 | 7 | 2021 |
| GAMMA: Graph Neural Network-Based Multi-Bottleneck Localization for Microservices Applications G Somashekar, A Dutt, M Adak, T Lorido Botran, A Gandhi Proceedings of the ACM on Web Conference 2024, 3085-3095, 2024 | 4 | 2024 |
| IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency S Ghafouri, K Razavi, M Salmani, A Sanaee, T Lorido-Botran, L Wang, ... arXiv preprint arXiv:2308.12871, 2023 | 4 | 2023 |
| Fire: A failure-adaptive reinforcement learning framework for edge computing migrations M Siew, S Sharma, Z Li, K Guo, C Xu, T Lorido-Botran, TQS Quek, ... arXiv preprint arXiv:2209.14399, 2024 | 3 | 2024 |
| Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients V Huang, S Sohail, M Mayo, TL Botran, M Rodrigues, C Anderson, M Ooi 2023 IEEE 16th International Conference on Cloud Computing (CLOUD), 1-3, 2023 | 2 | 2023 |
| DeePref: Deep Reinforcement Learning For Video Prefetching In Content Delivery Networks N Alkassab, CT Huang, TL Botran 2024 33rd International Conference on Computer Communications and Networks …, 2024 | 1 | 2024 |
| TURNIP: A" Nondeterministic" GPU Runtime with CPU RAM Offload Z Ding, J Yao, B Barrow, TL Botran, C Jermaine, Y Tang, J Li, X Yao, ... arXiv preprint arXiv:2405.16283, 2024 | 1 | 2024 |
| MSF-Model: Modeling Metastable Failures in Replicated Storage Systems F Habibi, T Lorido-Botran, A Showail, DC Sturman, F Nawab arXiv preprint arXiv:2309.16181, 2023 | 1 | 2023 |
| Scaling the Metaverse: An AI Perspective T Lorido-Botran Companion of the 2023 ACM/SPEC International Conference on Performance …, 2023 | 1 | 2023 |
| MSF-Model: Queuing-Based Analysis and Prediction of Metastable Failures in Replicated Storage Systems F Habibi, T Lorido-Botran, A Showail, DC Sturman, F Nawab 2024 43rd International Symposium on Reliable Distributed Systems (SRDS), 12-22, 2024 | | 2024 |
| Towards Quality of Experience Fairness for Serverless Functions X Li, P Lama, T Lorido-Botran, W Wang 2024 IEEE Cloud Summit, 61-66, 2024 | | 2024 |
Jose Miguel-AlonsoIntelligent Systems Group ISG, University of the Basque Country UPV/EHUVerified email at ehu.eus