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Maria Rodriguez Read
Maria Rodriguez Read
School of Computing and Information Systems, The University of Melbourne
Verified email at unimelb.edu.au
Title
Cited by
Cited by
Year
Deadline based resource provisioningand scheduling algorithm for scientific workflows on clouds
MA Rodriguez, R Buyya
IEEE Transactions on Cloud Computing 2 (2), 222-235, 2014
7262014
A manifesto for future generation cloud computing: Research directions for the next decade
R Buyya, SN Srirama, G Casale, R Calheiros, Y Simmhan, B Varghese, ...
ACM computing surveys (CSUR) 51 (5), 1-38, 2018
2732018
A taxonomy and survey on scheduling algorithms for scientific workflows in IaaS cloud computing environments
MA Rodriguez, R Buyya
Concurrency and Computation: Practice and Experience 29 (8), e4041, 2017
2052017
Scheduling dynamic workloads in multi-tenant scientific workflow as a service platforms
MA Rodriguez, R Buyya
Future Generation Computer Systems 79, 739-750, 2018
922018
Container‐based cluster orchestration systems: A taxonomy and future directions
MA Rodriguez, R Buyya
Software: Practice and Experience 49 (5), 698-719, 2019
822019
Budget-driven scheduling of scientific workflows in IaaS clouds with fine-grained billing periods
MA Rodriguez, R Buyya
ACM Transactions on Autonomous and Adaptive Systems (TAAS) 12 (2), 1-22, 2017
592017
Task Runtime Prediction in Scientific Workflows Using an Online Incremental Learning Approach
MH Hilman, MA Rodriguez, R Buyya
2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing …, 2018
402018
A responsive knapsack-based algorithm for resource provisioning and scheduling of scientific workflows in clouds
MA Rodriguez, R Buyya
2015 44th International Conference on Parallel Processing, 839-848, 2015
392015
Container Orchestration With Cost-Efficient Autoscaling in Cloud Computing Environments
M Rodriguez, R Buyya
Handbook of Research on Multimedia Cyber Security, 190-213, 2020
352020
Multiple Workflows Scheduling in Multi-tenant Distributed Systems: A Taxonomy and Future Directions
MH Hilman, MA Rodriguez, R Buyya
ACM Computing Surveys (CSUR) 53 (1), 1-39, 2020
332020
Detecting performance anomalies in scientific workflows using hierarchical temporal memory
MA Rodriguez, R Kotagiri, R Buyya
Future Generation Computer Systems 88, 624-635, 2018
322018
Scientific Workflow Management System for Clouds
MA Rodriguez, R Buyya
Software Architecture for Big Data and the Cloud, 367-387, 2017
162017
Cost-Efficient Orchestration of Containers in Clouds: A Vision, Architectural Elements, and Future Directions
R Buyya, MA Rodriguez, AN Toosi, J Park
Journal of Physics: Conference Series 1108 (1), 012001, 2018
152018
Machine learning-based orchestration of containers: A taxonomy and future directions
Z Zhong, M Xu, MA Rodriguez, C Xu, R Buyya
ACM Computing Surveys (CSUR), 2022
112022
A Reinforcement Learning Approach to Reduce Serverless Function Cold Start Frequency
S Agarwal, MA Rodriguez, R Buyya
2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet …, 2021
112021
Task-based Budget Distribution Strategies for Scientific Workflows with Coarse-grained Billing Periods in IaaS Clouds
MH Hilman, MA Rodriguez, R Buyya
2017 IEEE 13th International Conference on e-Science (e-Science), 128-137, 2017
102017
Heterogeneous Task Co-location in Containerized Cloud Computing Environments
Z Zhong, J He, MA Rodriguez, S Erfani, R Kotagiri, R Buyya
2020 IEEE 23rd International Symposium on Real-Time Distributed Computing …, 2020
62020
A Deep Reinforcement Learning Approach to Resource Management in Hybrid Clouds Harnessing Renewable Energy and Task Scheduling
J Zhao, MA Rodríguez, R Buyya
2021 IEEE 14th International Conference on Cloud Computing (CLOUD), 240-249, 2021
42021
Workflow-as-a-Service Cloud Platform and Deployment of Bioinformatics Workflow Applications
MH Hilman, MA Rodriguez, R Buyya
Knowledge Management in the Development of Data-Intensive Systems, 205-226, 2020
32020
Resource Provisioning and Scheduling Algorithms for Scientific Workflows in Cloud Computing Environments
MAR Sossa
University of Melbourne, Department of Computing and Information Systems, 2016
32016
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