Maria Rodriguez Read
Orcid: 0000-0002-2831-8526Affiliations:
- University of Melbourne, Australia (PhD 2016)
According to our database1,
Maria Rodriguez Read
authored at least 63 papers
between 2014 and 2025.
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Bibliography
2025
A Framework for Carbon-Aware Real-Time Workload Management in Clouds Using Renewables-Driven Cores.
IEEE Trans. Computers, August, 2025
CoRR, July, 2025
Optimizing HPC scheduling: a hierarchical reinforcement learning approach for intelligent job selection and allocation.
J. Supercomput., June, 2025
A Controllable and Realistic Framework for Evaluating Microservice Scheduling in Cloud-Edge Continuum.
CoRR, March, 2025
CReMa: Crisis Response Through Computational Identification and Matching of Cross-Lingual Requests and Offers Shared on Social Media.
IEEE Trans. Comput. Soc. Syst., February, 2025
"Actionable Help" in Crises: A Novel Dataset and Resource-Efficient Models for Identifying Request and Offer Social Media Posts.
CoRR, February, 2025
Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments.
ACM Trans. Auton. Adapt. Syst., 2025
Aging-aware CPU Core Management for Embodied Carbon Amortization in Cloud LLM Inference.
Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, 2025
2024
CloudSim express: A novel framework for rapid low code simulation of cloud computing environments.
Softw. Pract. Exp., March, 2024
$\mu$μ-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog Computing Environments.
IEEE Trans. Serv. Comput., 2024
A Deep Recurrent-Reinforcement Learning Method for Intelligent AutoScaling of Serverless Functions.
IEEE Trans. Serv. Comput., 2024
CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts.
Knowl. Based Syst., 2024
TraDE: Network and Traffic-aware Adaptive Scheduling for Microservices Under Dynamics.
CoRR, 2024
Semantically Enriched Cross-Lingual Sentence Embeddings for Crisis-related Social Media Texts.
CoRR, 2024
Deep Reinforcement Learning (DRL)-based Methods for Serverless Stream Processing Engines: A Vision, Architectural Elements, and Future Directions.
CoRR, 2024
Autonomous Vehicle Patrolling Through Deep Reinforcement Learning: Learning to Communicate and Cooperate.
CoRR, 2024
iAnomaly: A Toolkit for Generating Performance Anomaly Datasets in Edge-Cloud Integrated Computing Environments.
Proceedings of the 17th IEEE/ACM International Conference on Utility and Cloud Computing, 2024
Latin Square Job Scheduling for Distributed Data Processing on Warehouse-Scale Computers.
Proceedings of the 17th IEEE/ACM International Conference on Utility and Cloud Computing, 2024
Input-Based Ensemble-Learning Method for Dynamic Memory Configuration of Serverless Computing Functions.
Proceedings of the 17th IEEE/ACM International Conference on Utility and Cloud Computing, 2024
Intelligent Data Source Emission Rate Control for Optimising the Performance of Streaming Applications.
Proceedings of the 24th IEEE International Symposium on Cluster, 2024
Proceedings of the IEEE International Conference on Big Data, 2024
2023
BillionCOV: An Enriched Billion-scale Collection of COVID-19 tweets for Efficient Hydration.
Dataset, January, 2023
Socially Enhanced Situation Awareness from Microblogs Using Artificial Intelligence: A Survey.
ACM Comput. Surv., 2023
μ-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog computing Environments.
CoRR, 2023
Reinforcement Learning (RL) Augmented Cold Start Frequency Reduction in Serverless Computing.
CoRR, 2023
BillionCOV: An Enriched Billion-scale Collection of COVID-19 tweets for Efficient Hydration.
CoRR, 2023
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023
DEMOTS: A Decentralized Task Scheduling Algorithm for Micro-Clouds with Dynamic Power-Budgets.
Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023
EN-Beats: A Novel Ensemble Learning-Based Method for Multiple Resource Predictions in Cloud.
Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023
2022
Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions.
ACM Comput. Surv., January, 2022
CoRR, 2022
Appl. Soft Comput., 2022
Addressing the <i>location A/B</i> problem on Twitter: the next generation location inference research.
Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-based Recommendations, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Where did you tweet from? Inferring the origin locations of tweets based on contextual information.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Multiple Workflows Scheduling in Multi-tenant Distributed Systems: A Taxonomy and Future Directions.
ACM Comput. Surv., 2021
A Reinforcement Learning Approach to Reduce Serverless Function Cold Start Frequency.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021
Proceedings of the ACSW '21: 2021 Australasian Computer Science Week Multiconference, 2021
A Deep Reinforcement Learning Approach to Resource Management in Hybrid Clouds Harnessing Renewable Energy and Task Scheduling.
Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021
Mobile Edge Computing, 2021
2020
CoRR, 2020
Workflow-as-a-Service Cloud Platform and Deployment of Bioinformatics Workflow Applications.
CoRR, 2020
High-Performance Mining of COVID-19 Open Research Datasets for Text Classification and Insights in Cloud Computing Environments.
Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing, 2020
Proceedings of the 23rd IEEE International Symposium on Real-Time Distributed Computing, 2020
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020
2019
Softw. Pract. Exp., 2019
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade.
ACM Comput. Surv., 2019
CoRR, 2019
2018
Detecting performance anomalies in scientific workflows using hierarchical temporal memory.
Future Gener. Comput. Syst., 2018
Scheduling dynamic workloads in multi-tenant scientific workflow as a service platforms.
Future Gener. Comput. Syst., 2018
Containers Orchestration with Cost-Efficient Autoscaling in Cloud Computing Environments.
CoRR, 2018
Cost-Efficient Orchestration of Containers in Clouds: A Vision, Architectural Elements, and Future Directions.
CoRR, 2018
Task Runtime Prediction in Scientific Workflows Using an Online Incremental Learning Approach.
Proceedings of the 11th IEEE/ACM International Conference on Utility and Cloud Computing, 2018
2017
Budget-Driven Scheduling of Scientific Workflows in IaaS Clouds with Fine-Grained Billing Periods.
ACM Trans. Auton. Adapt. Syst., 2017
A taxonomy and survey on scheduling algorithms for scientific workflows in IaaS cloud computing environments.
Concurr. Comput. Pract. Exp., 2017
Task-Based Budget Distribution Strategies for Scientific Workflows with Coarse-Grained Billing Periods in IaaS Clouds.
Proceedings of the 13th IEEE International Conference on e-Science, 2017
2016
Resource provisioning and scheduling algorithms for scientific workflows in cloud computing environments.
PhD thesis, 2016
2015
A Responsive Knapsack-Based Algorithm for Resource Provisioning and Scheduling of Scientific Workflows in Clouds.
Proceedings of the 44th International Conference on Parallel Processing, 2015
2014
Deadline Based Resource Provisioningand Scheduling Algorithm for Scientific Workflows on Clouds.
IEEE Trans. Cloud Comput., 2014