Tania Lorido-Botran
Tania Lorido-Botran
Roblox, USA
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Cited by
Cited by
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
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
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
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
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
Comparison of auto-scaling techniques for cloud environments
TL Botrán, JM Alonso, JA Lozano
Actas de las XXIV Jornadas de Paralelismo, 187-192, 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
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
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
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
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
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
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
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
DeePref: Deep Reinforcement Learning For Video Prefetching In Content Delivery Networks
N Alkassab, CT Huang, TL Botran
arXiv preprint arXiv:2310.07881, 2023
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
Metastability in the Metaverse
T Lorido-Botran
DEBS '23: Proceedings of the 17th ACM International Conference on …, 2023
Scaling the Metaverse: An AI Perspective
T Lorido-Botran
Companion of the 2023 ACM/SPEC International Conference on Performance …, 2023
Efficient resource management in cloud data centers: a machine learning approach
T Lorido Botrán
Efficient resource management in cloud data centers: a machine learning approach, 2019
Optimization of Application Placement towards a Greener Cloud Infrastructure
T Lorido-Botran, JA Pascual, J Miguel-Alonso, JA Lozano
Applications of Evolutionary Computation: 17th European Conference …, 2014
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