Maria Alejandra Rodriguez
Maria Alejandra Rodriguez
CLOUDS Lab, Computing and Information Systems, The University of Melbourne, Australia
Verified email at unimelb.edu.au
TitleCited byYear
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
4212014
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
762017
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), 105, 2018
582018
Scheduling dynamic workloads in multi-tenant scientific workflow as a service platforms
MA Rodriguez, R Buyya
Future Generation Computer Systems 79, 739-750, 2018
292018
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
282015
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), 5, 2017
27*2017
Container‐based cluster orchestration systems: A taxonomy and future directions
MA Rodriguez, R Buyya
Software: Practice and Experience 49 (5), 698-719, 2019
142019
Detecting performance anomalies in scientific workflows using hierarchical temporal memory
MA Rodriguez, R Kotagiri, R Buyya
Future Generation Computer Systems 88, 624-635, 2018
42018
Scientific Workflow Management System for Clouds
MA Rodriguez, R Buyya
Software Architecture for Big Data and the Cloud, 367-387, 2017
42017
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
32017
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
22018
Containers Orchestration with Cost-Efficient Autoscaling in Cloud Computing Environments
MA Rodriguez, R Buyya
arXiv preprint arXiv:1812.00300, 2018
22018
Multiple Workflows Scheduling in Multi-tenant Distributed Systems: A Taxonomy and Future Directions
MH Hilman, MA Rodriguez, R Buyya
arXiv preprint arXiv:1809.05574, 2018
12018
Resource-sharing Policy in Multi-tenant Scientific Workflow as a Service Platform
MH Hilman, MA Rodriguez, R Buyya
arXiv preprint arXiv:1903.01113, 2019
2019
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
2018
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade
MAS NETTO, AN TOOSI, MA RODRIGUEZ, IM LLORENTE, ...
2018
Budget-constrained Resource Provisioning and Scheduling Algorithms for Scientific Workflows in Cloud Environments
MH Hilman, MA Rodriguez, R Buyya
School of Compu ng and Informa on Systems 5th Annual Doctoral Colloquium …, 2017
2017
Resource Provisioning and Scheduling Algorithms for Scientific Workflows in Cloud Computing Environments
MAR Sossa
University of Melbourne, Department of Computing and Information Systems, 2016
2016
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