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ORCIDMaria Rodriguez Read
Person information
- affiliation (PhD 2016): University of Melbourne, Australia
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2020 – today
- 2024
[j13]Tharindu B. Hewage
, Shashikant Ilager, Maria Alejandra Rodriguez, Rajkumar Buyya:
CloudSim express: A novel framework for rapid low code simulation of cloud computing environments. Softw. Pract. Exp. 54(3): 483-500 (2024)- [j12]Mohammad Goudarzi, Maria Alejandra Rodriguez, Majid Sarvi, Rajkumar Buyya:
$\mu$μ-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog Computing Environments. IEEE Trans. Serv. Comput. 17(1): 47-59 (2024) - [i23]Maria Rodriguez Read, Chinmaya Kumar Dehury, Satish Narayana Srirama, Rajkumar Buyya:
Deep Reinforcement Learning (DRL)-based Methods for Serverless Stream Processing Engines: A Vision, Architectural Elements, and Future Directions. CoRR abs/2402.17117 (2024) - [i22]Rabindra Lamsal, Maria Rodriguez Read, Shanika Karunasekera:
Semantically Enriched Cross-Lingual Sentence Embeddings for Crisis-related Social Media Texts. CoRR abs/2403.16614 (2024) - 2023
- [j11]Rabindra Lamsal, Aaron Harwood, Maria Rodriguez Read:
Socially Enhanced Situation Awareness from Microblogs Using Artificial Intelligence: A Survey. ACM Comput. Surv. 55(4): 77:1-77:38 (2023) - [c13]Ming Chen, Maria Rodriguez Read, Patricia Arroba, Rajkumar Buyya:
EN-Beats: A Novel Ensemble Learning-Based Method for Multiple Resource Predictions in Cloud. CLOUD 2023: 144-154 - [c12]Tharindu B. Hewage, Shashikant Ilager, Maria Alejandra Rodriguez, Patricia Arroba, Rajkumar Buyya:
DEMOTS: A Decentralized Task Scheduling Algorithm for Micro-Clouds with Dynamic Power-Budgets. CLOUD 2023: 418-427 - [d2]Rabindra Lamsal, Maria Rodriguez Read, Shanika Karunasekera:
BillionCOV: An Enriched Billion-scale Collection of COVID-19 tweets for Efficient Hydration. IEEE DataPort, 2023
- [d1]Rabindra Lamsal, Maria Rodriguez Read, Shanika Karunasekera:
MegaGeoCOV Extended. IEEE DataPort, 2023 - [i21]Rabindra Lamsal, Maria Rodriguez Read, Shanika Karunasekera:
BillionCOV: An Enriched Billion-scale Collection of COVID-19 tweets for Efficient Hydration. CoRR abs/2301.11284 (2023) - [i20]Rabindra Lamsal, Maria Rodriguez Read, Shanika Karunasekera:
A Twitter narrative of the COVID-19 pandemic in Australia. CoRR abs/2302.11136 (2023) - [i19]Siddharth Agarwal, Maria Alejandra Rodriguez, Rajkumar Buyya:
A Deep Recurrent-Reinforcement Learning Method for Intelligent AutoScaling of Serverless Functions. CoRR abs/2308.05937 (2023) - [i18]Siddharth Agarwal, Maria Alejandra Rodriguez, Rajkumar Buyya:
Reinforcement Learning (RL) Augmented Cold Start Frequency Reduction in Serverless Computing. CoRR abs/2308.07541 (2023) - [i17]Rabindra Lamsal, Maria Rodriguez Read, Shanika Karunasekera:
CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts. CoRR abs/2309.05494 (2023) - [i16]Mohammad Goudarzi, Maria Alejandra Rodriguez, Majid Sarvi, Rajkumar Buyya:
μ-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog computing Environments. CoRR abs/2310.09003 (2023) - [i15]Tharindu B. Hewage, Shashikant Ilager, Maria Alejandra Rodriguez, Rajkumar Buyya:
CloudSim Express: A Novel Framework for Rapid Low Code Simulation of Cloud Computing Environments. CoRR abs/2311.00974 (2023) - 2022
- [j10]Rabindra Lamsal, Aaron Harwood, Maria Rodriguez Read:
Twitter conversations predict the daily confirmed COVID-19 cases. Appl. Soft Comput. 129: 109603 (2022) - [j9]Zhiheng Zhong, Minxian Xu, Maria Alejandra Rodriguez, Cheng-Zhong Xu, Rajkumar Buyya:
Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions. ACM Comput. Surv. 54(10s): 217:1-217:35 (2022) - [c11]Rabindra Lamsal, Aaron Harwood, Maria Rodriguez Read:
Where did you tweet from? Inferring the origin locations of tweets based on contextual information. IEEE Big Data 2022: 3935-3944 - [c10]Rabindra Lamsal, Aaron Harwood, Maria Rodriguez Read:
Addressing the location A/B problem on Twitter: the next generation location inference research. LocalRec@SIGSPATIAL 2022: 4:1-4:4 - [i14]Rabindra Lamsal, Aaron Harwood, Maria Rodriguez Read:
Twitter conversations predict the daily confirmed COVID-19 cases. CoRR abs/2206.10471 (2022) - [i13]Rabindra Lamsal, Aaron Harwood, Maria Rodriguez Read:
Socially Enhanced Situation Awareness from Microblogs using Artificial Intelligence: A Survey. CoRR abs/2209.07272 (2022) - [i12]Rabindra Lamsal, Aaron Harwood, Maria Rodriguez Read:
Where did you tweet from? Inferring the origin locations of tweets based on contextual information. CoRR abs/2211.16506 (2022) - 2021
- [j8]Muhammad Hafizhuddin Hilman, Maria Alejandra Rodriguez, Rajkumar Buyya:
Multiple Workflows Scheduling in Multi-tenant Distributed Systems: A Taxonomy and Future Directions. ACM Comput. Surv. 53(1): 10:1-10:39 (2021) - [c9]Jie Zhao, Maria Alejandra Rodriguez, Rajkumar Buyya:
A Deep Reinforcement Learning Approach to Resource Management in Hybrid Clouds Harnessing Renewable Energy and Task Scheduling. CLOUD 2021: 240-249 - [c8]Tianyu Qi, Maria Alejandra Rodriguez:
A Traffic and Resource Aware Online Storm Scheduler. ACSW 2021: 8:1-8:10 - [c7]Siddharth Agarwal, Maria Alejandra Rodriguez, Rajkumar Buyya:
A Reinforcement Learning Approach to Reduce Serverless Function Cold Start Frequency. CCGRID 2021: 797-803 - [p1]Md. Redowan Mahmud, Adel Nadjaran Toosi, Maria Alejandra Rodriguez, Sharat Chandra Madanapalli, Vijay Sivaraman, Len Sciacca, Christos Sioutis, Rajkumar Buyya:
Software-Defined Multi-domain Tactical Networks: Foundations and Future Directions. Mobile Edge Computing 2021: 183-227 - [i11]Zhiheng Zhong, Minxian Xu, Maria Alejandra Rodriguez, Chengzhong Xu, Rajkumar Buyya:
Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions. CoRR abs/2106.12739 (2021) - 2020
- [c6]Aaron Harwood, Maria Rodriguez Read, Gayashan Niroshana Amarasinghe:
Dragon: A Lightweight, High Performance Distributed Stream Processing Engine. ICDCS 2020: 1344-1351 - [c5]Zhiheng Zhong, Jiabo He, Maria Alejandra Rodriguez, Sarah M. Erfani, Ramamohanarao Kotagiri, Rajkumar Buyya:
Heterogeneous Task Co-location in Containerized Cloud Computing Environments. ISORC 2020: 79-88 - [c4]Jie Zhao, Maria Alejandra Rodriguez, Rajkumar Buyya:
High-Performance Mining of COVID-19 Open Research Datasets for Text Classification and Insights in Cloud Computing Environments. UCC 2020: 302-309 - [i10]Muhammad Hafizhuddin Hilman, Maria Alejandra Rodriguez, Rajkumar Buyya:
Workflow-as-a-Service Cloud Platform and Deployment of Bioinformatics Workflow Applications. CoRR abs/2006.01957 (2020) - [i9]Jie Zhao, Maria Alejandra Rodriguez, Rajkumar Buyya:
High-Performance Mining of COVID-19 Open Research Datasets for Text Classification and Insights in Cloud Computing Environments. CoRR abs/2009.07399 (2020) - [i8]Md. Redowan Mahmud, Adel Nadjaran Toosi, Maria Alejandra Rodriguez, Sharat Chandra Madanapalli, Vijay Sivaraman, Len Sciacca, Christos Sioutis, Rajkumar Buyya:
Software-Defined Multi-domain Tactical Networks: Foundations and Future Directions. CoRR abs/2010.10509 (2020)
2010 – 2019
- 2019
- [j7]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, Ignacio Martín Llorente, Sabrina De Capitani di Vimercati, Pierangela Samarati, Dejan S. Milojicic, Carlos A. Varela, Rami Bahsoon, Marcos Dias de Assunção, Omer F. Rana, Wanlei Zhou, Hai Jin, Wolfgang Gentzsch, Albert Y. Zomaya, Haiying Shen:
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade. ACM Comput. Surv. 51(5): 105:1-105:38 (2019) - [j6]Maria Alejandra Rodriguez, Rajkumar Buyya:
Container-based cluster orchestration systems: A taxonomy and future directions. Softw. Pract. Exp. 49(5): 698-719 (2019) - [i7]Muhammad Hafizhuddin Hilman, Maria Alejandra Rodriguez, Rajkumar Buyya:
Resource-sharing Policy in Multi-tenant Scientific Workflow as a Service Platform. CoRR abs/1903.01113 (2019) - 2018
- [j5]Maria Alejandra Rodriguez, Rajkumar Buyya:
Scheduling dynamic workloads in multi-tenant scientific workflow as a service platforms. Future Gener. Comput. Syst. 79: 739-750 (2018) - [j4]Maria Alejandra Rodriguez, Ramamohanarao Kotagiri, Rajkumar Buyya:
Detecting performance anomalies in scientific workflows using hierarchical temporal memory. Future Gener. Comput. Syst. 88: 624-635 (2018) - [c3]Muhammad Hafizhuddin Hilman, Maria Alejandra Rodriguez, Rajkumar Buyya:
Task Runtime Prediction in Scientific Workflows Using an Online Incremental Learning Approach. UCC 2018: 93-102 - [i6]Rajkumar Buyya, Maria Alejandra Rodriguez, Adel Nadjaran Toosi, Jaeman Park:
Cost-Efficient Orchestration of Containers in Clouds: A Vision, Architectural Elements, and Future Directions. CoRR abs/1807.03578 (2018) - [i5]Maria Alejandra Rodriguez, Rajkumar Buyya:
Container-based Cluster Orchestration Systems: A Taxonomy and Future Directions. CoRR abs/1807.06193 (2018) - [i4]Muhammad Hafizhuddin Hilman, Maria Alejandra Rodriguez, Rajkumar Buyya:
Multiple Workflows Scheduling in Multi-tenant Distributed Systems: A Taxonomy and Future Directions. CoRR abs/1809.05574 (2018) - [i3]Muhammad Hafizhuddin Hilman, Maria Alejandra Rodriguez, Rajkumar Buyya:
Task Runtime Prediction in Scientific Workflows Using an Online Incremental Learning Approach. CoRR abs/1810.04329 (2018) - [i2]Maria Alejandra Rodriguez, Rajkumar Buyya:
Containers Orchestration with Cost-Efficient Autoscaling in Cloud Computing Environments. CoRR abs/1812.00300 (2018) - 2017
- [j3]Maria Alejandra Rodriguez, Rajkumar Buyya:
A taxonomy and survey on scheduling algorithms for scientific workflows in IaaS cloud computing environments. Concurr. Comput. Pract. Exp. 29(8) (2017) - [j2]Maria Alejandra Rodriguez, Rajkumar Buyya:
Budget-Driven Scheduling of Scientific Workflows in IaaS Clouds with Fine-Grained Billing Periods. ACM Trans. Auton. Adapt. Syst. 12(2): 5:1-5:22 (2017) - [c2]Muhammad Hafizhuddin Hilman, Maria Alejandra Rodriguez, Rajkumar Buyya:
Task-Based Budget Distribution Strategies for Scientific Workflows with Coarse-Grained Billing Periods in IaaS Clouds. eScience 2017: 128-137 - [i1]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, Ignacio Martín Llorente, Sabrina De Capitani di Vimercati, Pierangela Samarati, Dejan S. Milojicic, Carlos A. Varela, Rami Bahsoon, Marcos Dias de Assunção, Omer F. Rana, Wanlei Zhou, Hai Jin, Wolfgang Gentzsch, Albert Y. Zomaya, Haiying Shen:
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade. CoRR abs/1711.09123 (2017) - 2016
- [b1]Maria Alejandra Rodriguez Sossa:
Resource provisioning and scheduling algorithms for scientific workflows in cloud computing environments. University of Melbourne, Australia, 2016 - 2015
- [c1]Maria Alejandra Rodriguez, Rajkumar Buyya:
A Responsive Knapsack-Based Algorithm for Resource Provisioning and Scheduling of Scientific Workflows in Clouds. ICPP 2015: 839-848 - 2014
- [j1]Maria Alejandra Rodriguez, Rajkumar Buyya:
Deadline Based Resource Provisioningand Scheduling Algorithm for Scientific Workflows on Clouds. IEEE Trans. Cloud Comput. 2(2): 222-235 (2014)
Coauthor Index
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last updated on 2024-05-08 23:37 CEST by the dblp team
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