Maria Alejandra Rodriguez

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 25

Top Topics

Cloud Computing

Future Directions

Service Platform

Scientific Workflows

Top Venues

ACM Comput. Surv.

Future Gener. Comput. Syst.

Publications

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) (2022)
Zhiheng Zhong, Minxian Xu, Maria Alejandra Rodriguez, Chengzhong Xu, Rajkumar Buyya
Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions. CoRR (2021)
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)
Siddharth Agarwal, Maria Alejandra Rodriguez, Rajkumar Buyya
A Reinforcement Learning Approach to Reduce Serverless Function Cold Start Frequency. CCGRID (2021)
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)
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 (2020)
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 (2020)
Muhammad Hafizhuddin Hilman, Maria Alejandra Rodriguez, Rajkumar Buyya
Workflow-as-a-Service Cloud Platform and Deployment of Bioinformatics Workflow Applications. CoRR (2020)
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) (2020)
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)
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) (2019)
Maria Alejandra Rodriguez, Rajkumar Buyya
Container-based cluster orchestration systems: A taxonomy and future directions. Softw. Pract. Exp. 49 (5) (2019)
Muhammad Hafizhuddin Hilman, Maria Alejandra Rodriguez, Rajkumar Buyya
Resource-sharing Policy in Multi-tenant Scientific Workflow as a Service Platform. CoRR (2019)
Maria Alejandra Rodriguez, Ramamohanarao Kotagiri, Rajkumar Buyya
Detecting performance anomalies in scientific workflows using hierarchical temporal memory. Future Gener. Comput. Syst. 88 (2018)
Muhammad Hafizhuddin Hilman, Maria Alejandra Rodriguez, Rajkumar Buyya
Task Runtime Prediction in Scientific Workflows Using an Online Incremental Learning Approach. UCC (2018)
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 (2018)
Muhammad Hafizhuddin Hilman, Maria Alejandra Rodriguez, Rajkumar Buyya
Multiple Workflows Scheduling in Multi-tenant Distributed Systems: A Taxonomy and Future Directions. CoRR (2018)
Maria Alejandra Rodriguez, Rajkumar Buyya
Containers Orchestration with Cost-Efficient Autoscaling in Cloud Computing Environments. CoRR (2018)
Muhammad Hafizhuddin Hilman, Maria Alejandra Rodriguez, Rajkumar Buyya
Task Runtime Prediction in Scientific Workflows Using an Online Incremental Learning Approach. CoRR (2018)
Maria Alejandra Rodriguez, Rajkumar Buyya
Scheduling dynamic workloads in multi-tenant scientific workflow as a service platforms. Future Gener. Comput. Syst. 79 (2018)
Maria Alejandra Rodriguez, Rajkumar Buyya
Container-based Cluster Orchestration Systems: A Taxonomy and Future Directions. CoRR (2018)
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 (2017)
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)
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) (2017)
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)
Maria Alejandra Rodriguez, Rajkumar Buyya
A Responsive Knapsack-Based Algorithm for Resource Provisioning and Scheduling of Scientific Workflows in Clouds. ICPP (2015)
Maria Alejandra Rodriguez, Rajkumar Buyya
Deadline Based Resource Provisioningand Scheduling Algorithm for Scientific Workflows on Clouds. IEEE Trans. Cloud Comput. 2 (2) (2014)