Deadline Based Resource Provisioningand Scheduling Algorithm for Scientific Workflows on Clouds. - Maria Alejandra Rodriguez; Rajkumar Buyya (IEEE Trans. Cloud Comput., 2014)

A Responsive Knapsack-Based Algorithm for Resource Provisioning and Scheduling of Scientific Workflows in Clouds. - Maria Alejandra Rodriguez; Rajkumar Buyya (ICPP, 2015)

Resource provisioning and scheduling algorithms for scientific workflows in cloud computing environments. - Maria Alejandra Rodriguez Sossa (2016)

Task-Based Budget Distribution Strategies for Scientific Workflows with Coarse-Grained Billing Periods in IaaS Clouds. - Muhammad Hafizhuddin Hilman; Maria Alejandra Rodriguez; Rajkumar Buyya (eScience, 2017)

A taxonomy and survey on scheduling algorithms for scientific workflows in IaaS cloud computing environments. - Maria Alejandra Rodriguez; Rajkumar Buyya (Concurr. Comput. Pract. Exp., 2017)

Budget-Driven Scheduling of Scientific Workflows in IaaS Clouds with Fine-Grained Billing Periods. - Maria Alejandra Rodriguez; Rajkumar Buyya (ACM Trans. Auton. Adapt. Syst., 2017)

Task Runtime Prediction in Scientific Workflows Using an Online Incremental Learning Approach. - Muhammad Hafizhuddin Hilman; Maria Alejandra Rodriguez; Rajkumar Buyya (UCC, 2018)

Cost-Efficient Orchestration of Containers in Clouds: A Vision, Architectural Elements, and Future Directions. - Rajkumar Buyya; Maria Alejandra Rodriguez; Adel Nadjaran Toosi; Jaeman Park (CoRR, 2018)

Containers Orchestration with Cost-Efficient Autoscaling in Cloud Computing Environments. - Maria Alejandra Rodriguez; Rajkumar Buyya (CoRR, 2018)

Scheduling dynamic workloads in multi-tenant scientific workflow as a service platforms. - Maria Alejandra Rodriguez; Rajkumar Buyya (Future Gener. Comput. Syst., 2018)

Detecting performance anomalies in scientific workflows using hierarchical temporal memory. - Maria Alejandra Rodriguez; Ramamohanarao Kotagiri; Rajkumar Buyya (Future Gener. Comput. Syst., 2018)

Resource-sharing Policy in Multi-tenant Scientific Workflow as a Service Platform. - Muhammad Hafizhuddin Hilman; Maria Alejandra Rodriguez; Rajkumar Buyya (CoRR, 2019)

A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade. - Rajkumar Buyya; Satish Narayana Srirama; Giuliano Casale; Rodrigo N. Calheiros; Yogesh Simmhan; Blesson Varghese; Erol Gelenbe; Bahman Javadi; Luis Miguel Vaquero; Marco A. S. Netto; Adel Nadjaran Toosi; Maria Alejandra Rodriguez; et al. (ACM Comput. Surv., 2019)

Container-based cluster orchestration systems: A taxonomy and future directions. - Maria Alejandra Rodriguez; Rajkumar Buyya (Softw. Pract. Exp., 2019)

Dragon: A Lightweight, High Performance Distributed Stream Processing Engine. - Aaron Harwood; Maria Rodriguez Read; Gayashan Niroshana Amarasinghe (ICDCS, 2020)

Heterogeneous Task Co-location in Containerized Cloud Computing Environments. - Zhiheng Zhong; Jiabo He; Maria Alejandra Rodriguez; Sarah M. Erfani; Ramamohanarao Kotagiri; Rajkumar Buyya (ISORC, 2020)

High-Performance Mining of COVID-19 Open Research Datasets for Text Classification and Insights in Cloud Computing Environments. - Jie Zhao; Maria Alejandra Rodriguez; Rajkumar Buyya (UCC, 2020)

Workflow-as-a-Service Cloud Platform and Deployment of Bioinformatics Workflow Applications. - Muhammad Hafizhuddin Hilman; Maria Alejandra Rodriguez; Rajkumar Buyya (CoRR, 2020)

Software-Defined Multi-domain Tactical Networks: Foundations and Future Directions. - Md. Redowan Mahmud; Adel Nadjaran Toosi; Maria Alejandra Rodriguez; Sharat Chandra Madanapalli; Vijay Sivaraman; Len Sciacca; Christos Sioutis; Rajkumar Buyya (CoRR, 2020)

Software-Defined Multi-domain Tactical Networks: Foundations and Future Directions. - Md. Redowan Mahmud; Adel Nadjaran Toosi; Maria Alejandra Rodriguez; Sharat Chandra Madanapalli; Vijay Sivaraman; Len Sciacca; Christos Sioutis; Rajkumar Buyya (Mobile Edge Computing, 2021)

A Deep Reinforcement Learning Approach to Resource Management in Hybrid Clouds Harnessing Renewable Energy and Task Scheduling. - Jie Zhao; Maria Alejandra Rodriguez; Rajkumar Buyya (CLOUD, 2021)

A Traffic and Resource Aware Online Storm Scheduler. - Tianyu Qi; Maria Alejandra Rodriguez (ACSW, 2021)

A Reinforcement Learning Approach to Reduce Serverless Function Cold Start Frequency. - Siddharth Agarwal; Maria Alejandra Rodriguez; Rajkumar Buyya (CCGRID, 2021)

Multiple Workflows Scheduling in Multi-tenant Distributed Systems: A Taxonomy and Future Directions. - Muhammad Hafizhuddin Hilman; Maria Alejandra Rodriguez; Rajkumar Buyya (ACM Comput. Surv., 2021)

Where did you tweet from? Inferring the origin locations of tweets based on contextual information. - Rabindra Lamsal; Aaron Harwood; Maria Rodriguez Read (IEEE Big Data, 2022)

Optimal Rate Control for Latency-constrained High Throughput Big Data Applications. - Ziren Xiao; Aaron Harwood; Maria A. Rodriguez 001 (IEEE Big Data, 2022)

Addressing the location A/B problem on Twitter: the next generation location inference research. - Rabindra Lamsal; Aaron Harwood; Maria Rodriguez Read (LocalRec@SIGSPATIAL, 2022)

Twitter conversations predict the daily confirmed COVID-19 cases. - Rabindra Lamsal; Aaron Harwood; Maria Rodriguez Read (Appl. Soft Comput., 2022)

Multi-Agent Patrolling with Battery Constraints through Deep Reinforcement Learning. - Chenhao Tong; Aaron Harwood; Maria A. Rodriguez 001; Richard O. Sinnott (CoRR, 2022)

Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions. - Zhiheng Zhong; Minxian Xu; Maria Alejandra Rodriguez; Cheng-Zhong Xu 001; Rajkumar Buyya (ACM Comput. Surv., 2022)

EN-Beats: A Novel Ensemble Learning-Based Method for Multiple Resource Predictions in Cloud. - Ming Chen; Maria Rodriguez Read; Patricia Arroba; Rajkumar Buyya (CLOUD, 2023)

DEMOTS: A Decentralized Task Scheduling Algorithm for Micro-Clouds with Dynamic Power-Budgets. - Tharindu B. Hewage; Shashikant Ilager; Maria Alejandra Rodriguez; Patricia Arroba; Rajkumar Buyya (CLOUD, 2023)

Deep Back-Filling: a Split Window Technique for Deep Online Cluster Job Scheduling. - Lingfei Wang; Aaron Harwood; Maria A. Rodriguez 001 (HPCC/DSS/SmartCity/DependSys, 2023)

BillionCOV: An Enriched Billion-scale Collection of COVID-19 tweets for Efficient Hydration. - Rabindra Lamsal; Maria Rodriguez Read; Shanika Karunasekera (CoRR, 2023)

A Twitter narrative of the COVID-19 pandemic in Australia. - Rabindra Lamsal; Maria Rodriguez Read; Shanika Karunasekera (CoRR, 2023)

Reinforcement Learning (RL) Augmented Cold Start Frequency Reduction in Serverless Computing. - Siddharth Agarwal; Maria Alejandra Rodriguez; Rajkumar Buyya (CoRR, 2023)

μ-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog computing Environments. - Mohammad Goudarzi; Maria Alejandra Rodriguez; Majid Sarvi; Rajkumar Buyya (CoRR, 2023)

Socially Enhanced Situation Awareness from Microblogs Using Artificial Intelligence: A Survey. - Rabindra Lamsal; Aaron Harwood; Maria Rodriguez Read (ACM Comput. Surv., 2023)

BillionCOV: An Enriched Billion-scale Collection of COVID-19 tweets for Efficient Hydration. - Rabindra Lamsal; Maria Rodriguez Read; Shanika Karunasekera (IEEE DataPort, 2023)

MegaGeoCOV Extended. - Rabindra Lamsal; Maria Rodriguez Read; Shanika Karunasekera (IEEE DataPort, 2023)

A Model for Data Processing on Warehouse-Scale Computers. - Kevin Exton; Maria Read (IEEE Big Data, 2024)

Intelligent Data Source Emission Rate Control for Optimising the Performance of Streaming Applications. - Ziren Xiao; Christopher Leckie; Maria A. Rodriguez 001 (CCGrid, 2024)

Input-Based Ensemble-Learning Method for Dynamic Memory Configuration of Serverless Computing Functions. - Siddharth Agarwal; Maria A. Rodriguez 001; Rajkumar Buyya (UCC, 2024)

Latin Square Job Scheduling for Distributed Data Processing on Warehouse-Scale Computers. - Kevin Exton; Maria A. Rodriguez 001 (UCC, 2024)

iAnomaly: A Toolkit for Generating Performance Anomaly Datasets in Edge-Cloud Integrated Computing Environments. - Duneesha Fernando; Maria A. Rodriguez 001; Rajkumar Buyya (UCC, 2024)

Autonomous Vehicle Patrolling Through Deep Reinforcement Learning: Learning to Communicate and Cooperate. - Chenhao Tong; Maria A. Rodriguez 001; Richard O. Sinnott (CoRR, 2024)

Deep Reinforcement Learning (DRL)-based Methods for Serverless Stream Processing Engines: A Vision, Architectural Elements, and Future Directions. - Maria Rodriguez Read; Chinmaya Kumar Dehury; Satish Narayana Srirama; Rajkumar Buyya (CoRR, 2024)

Raptor: Distributed Scheduling for Serverless Functions. - Kevin Exton; Maria Read (CoRR, 2024)

Semantically Enriched Cross-Lingual Sentence Embeddings for Crisis-related Social Media Texts. - Rabindra Lamsal; Maria Rodriguez Read; Shanika Karunasekera (CoRR, 2024)

TraDE: Network and Traffic-aware Adaptive Scheduling for Microservices Under Dynamics. - Ming Chen; Muhammed Tawfiqul Islam; Maria Rodriguez Read; Rajkumar Buyya (CoRR, 2024)

CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts. - Rabindra Lamsal; Maria Rodriguez Read; Shanika Karunasekera (Knowl. Based Syst., 2024)

A Deep Recurrent-Reinforcement Learning Method for Intelligent AutoScaling of Serverless Functions. - Siddharth Agarwal; Maria Alejandra Rodriguez; Rajkumar Buyya (IEEE Trans. Serv. Comput., 2024)

$ mu$μ-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog Computing Environments. - Mohammad Goudarzi; Maria Alejandra Rodriguez; Majid Sarvi; Rajkumar Buyya (IEEE Trans. Serv. Comput., 2024)

CloudSim express: A novel framework for rapid low code simulation of cloud computing environments. - Tharindu B. Hewage; Shashikant Ilager; Maria Alejandra Rodriguez; Rajkumar Buyya (Softw. Pract. Exp., 2024)

Aging-aware CPU Core Management for Embodied Carbon Amortization in Cloud LLM Inference. - Tharindu B. Hewage; Shashikant Ilager; Maria Rodriguez Read; Rajkumar Buyya (e-Energy, 2025)

Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments. - Duneesha Fernando; Maria A. Rodriguez 001; Patricia Arroba; Leila Ismail; Rajkumar Buyya (ACM Trans. Auton. Adapt. Syst., 2025)

"Actionable Help" in Crises: A Novel Dataset and Resource-Efficient Models for Identifying Request and Offer Social Media Posts. - Rabindra Lamsal; Maria Rodriguez Read; Shanika Karunasekera; Muhammad Imran 002 (CoRR, 2025)

CReMa: Crisis Response Through Computational Identification and Matching of Cross-Lingual Requests and Offers Shared on Social Media. - Rabindra Lamsal; Maria Rodriguez Read; Shanika Karunasekera; Muhammad Imran 002 (IEEE Trans. Comput. Soc. Syst., 2025)

A Controllable and Realistic Framework for Evaluating Microservice Scheduling in Cloud-Edge Continuum. - Ming Chen; Muhammed Tawfiqul Islam; Maria Rodriguez Read; Rajkumar Buyya (CoRR, 2025)

Langformers: Unified NLP Pipelines for Language Models. - Rabindra Lamsal; Maria Rodriguez Read; Shanika Karunasekera (CoRR, 2025)

Optimizing HPC scheduling: a hierarchical reinforcement learning approach for intelligent job selection and allocation. - Lingfei Wang; Maria A. Rodriguez 001; Nir Lipovetzky (J. Supercomput., 2025)

ECORE: Energy-Conscious Optimized Routing for Deep Learning Models at the Edge. - Daghash K. Alqahtani; Maria A. Rodriguez 001; Muhammad Aamir Cheema; Hamid Rezatofighi; Adel Nadjaran Toosi (CoRR, 2025)

A Framework for Carbon-Aware Real-Time Workload Management in Clouds Using Renewables-Driven Cores. - Tharindu B. Hewage; Shashikant Ilager; Maria Alejandra Rodriguez; Rajkumar Buyya (IEEE Trans. Computers, 2025)