Suchergebnisse - Scientific Workflows Scheduling Algorithms IaaS Cloud Taxonomy Survey

Taxonomy and survey of scientific workflow scheduling in infrastructure-as-a-service cloud computing systems

Autoren: Stéphane, Fouakeu-Tatieze Corneille, Kamla Vivient Yassa, Sonia et al.

Weitere Verfasser: Stéphane, Fouakeu-Tatieze Corneille, Kamla Vivient Yassa, Sonia et al.

Quelle: Journal of Advanced Computer Science & Technology. 12:19-32

Schlagwörter: Scientific Workflows, Scientific Workflows Scheduling Algorithms IaaS Cloud Taxonomy Survey, IaaS Cloud, [INFO] Computer Science [cs], Scheduling Algorithms, Survey, Taxonomy

Dateibeschreibung: application/pdf

Zugangs-URL: https://cnrs.hal.science/hal-04606021v1/document
https://cnrs.hal.science/hal-04606021v1
https://doi.org/10.14419/f8ka3p66

Scientific workflow scheduling algorithms in cloud environments: a comprehensive taxonomy, survey, and future directions.

Autoren: Saeedizade, Ehsan Ashtiani, Mehrdad

Quelle: Journal of Scheduling; Feb2025, Vol. 28 Issue 1, p1-63, 63p

Schlagwörter: MATHEMATICS software, SYSTEMS software, ARTIFICIAL intelligence, IMAGE processing, CLOUD computing

A taxonomy and survey on scheduling algorithms for scientific workflows in IaaS cloud computing environments

Autoren: Rodriguez, MA Buyya, R

Index Begriffe: Journal Article

URL: https://hdl.handle.net/11343/292250

A taxonomy and survey on scheduling algorithms for scientific workflows in IaaS cloud computing environments

Autoren: Rodriguez, MA Buyya, R

Quelle: Concurrency and Computation: Practice and Experience. 29

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: http://minerva-access.unimelb.edu.au/bitstream/11343/292250/1/cpe.4041.pdf
https://dblp.uni-trier.de/db/journals/concurrency/concurrency29.html#RodriguezB17
https://onlinelibrary.wiley.com/doi/full/10.1002/cpe.4041
https://findanexpert.unimelb.edu.au/scholarlywork/1180855-a-taxonomy-and-survey-on-scheduling-algorithms-for-scientific-workflows-in-iaas-cloud-computing-environments
https://doi.org/10.1002/cpe.4041

A taxonomy and survey on scheduling algorithms for scientific workflows in IaaS cloud computing environments.

Autoren: Rodriguez, Maria Alejandra Buyya, Rajkumar

Quelle: Concurrency & Computation: Practice & Experience; 4/25/2017, Vol. 29 Issue 8, pn/a-N.PAG, 23p

Schlagwörter: CLOUD computing, ALGORITHMS, WORKFLOW, SCHEDULING software, INFRASTRUCTURE (Economics)

A hybrid algorithm for scheduling scientific workflows in IaaS cloud with deadline constraint.

Autoren: Hariri, Malihe Nouri-Baygi, Mostafa Abrishami, Saeid

Quelle: Journal of Supercomputing; Oct2022, Vol. 78 Issue 15, p16975-16996, 22p

Schlagwörter: WORKFLOW, WORKFLOW management systems, DEADLINES, SCHEDULING, ALGORITHMS, CLOUD computing, MATHEMATICAL models

Survey on Secure Scientific Workflow Scheduling in Cloud Environments.

Autoren: Saeed, Hadeel Amjed Al-Janabi, Sufyan T. Faraj Yassen, Esam Taha et al.

Quelle: Future Internet; Feb2025, Vol. 17 Issue 2, p51, 29p

Schlagwörter: VIRTUAL machine systems, DATA management, CLOUD computing, SCIENTIFIC computing, SCIENTIFIC method

Firma/Körperschaft: UNITED States. Central Intelligence Agency

Enhancing fork and join based workflow scheduling model in cloud computing.

Autoren: Namdev, Kanchan Rajak, Ranjit

Quelle: Cluster Computing; Nov2025, Vol. 28 Issue 13, p1-43, 43p

Schlagwörter: CLOUD computing, WORKFLOW management, PRODUCTION scheduling, VIRTUAL machine systems, QUALITY of service, RESOURCE allocation

A survey on provisioning and scheduling algorithms for scientific workflows in cloud computing.

Autoren: Jihad, Alaa Abdalqahar Al-Janabi, Sufyan T. Faraj Yassen, Esam Taha

Quelle: AIP Conference Proceedings; 10/31/2022, Vol. 2400 Issue 1, p1-18, 18p

Schlagwörter: WORKFLOW management systems, ALGORITHMS, NP-hard problems, CLOUD computing, STATISTICAL decision making, SCHEDULING, COMPUTER systems

Deadline and budget-constrained archimedes optimization algorithm for workflow scheduling in cloud.

Autoren: Kushwaha, Shweta Singh, Ravi Shankar

Quelle: Cluster Computing; Apr2025, Vol. 28 Issue 2, p1-27, 27p

Schlagwörter: OPTIMIZATION algorithms, BUDGET, MATHEMATICAL optimization, PRODUCTION scheduling, METAHEURISTIC algorithms

Workflow Scheduling Techniques and Algorithms in IaaS Cloud: A Survey.

Autoren: Chakravarthi, K. Kalyana Vijayakumar, Vaidehi

Quelle: International Journal of Electrical & Computer Engineering (2088-8708); Apr2018, Vol. 8 Issue 2, p853-866, 14p

Schlagwörter: WORKFLOW management systems, ALGORITHMS, BIG data, CLOUD computing, DISTRIBUTED computing

Resource provisioning and scheduling algorithms for scientific workflows in cloud computing environments

Autoren: Rodriguez Sossa, Maria Alejandra

Index Begriffe: cloud computing, scientific workflows, resource provisioning, scheduling, IaaS, PhD thesis

URL: http://hdl.handle.net/11343/119597

Toward optimizing scientific workflow using multi-objective optimization in a cloud environment.

Autoren: Ghafir, Shabina Alam, M. Afshar Siddiqui, Farheen et al.

Quelle: Cogent Engineering; 2024, Vol. 11 Issue 1, p1-27, 27p

Schlagwörter: VIRTUAL machine systems, ARTIFICIAL intelligence, MULTI-objective optimization, HYBRID cloud computing, HETEROGENEOUS computing

Scheduling multiple scientific workflows using containers on IaaS cloud.

Autoren: Rajasekar, P. Palanichamy, Yogesh

Quelle: Journal of Ambient Intelligence & Humanized Computing; Jul2021, Vol. 12 Issue 7, p7621-7636, 16p

Deep‐Q learning‐based heterogeneous earliest finish time scheduling algorithm for scientific workflows in cloud.

Autoren: Kaur, Avinash Singh, Parminder Singh Batth, Ranbir et al.

Quelle: Software: Practice & Experience; Mar2022, Vol. 52 Issue 3, p689-709, 21p

Schlagwörter: WORKFLOW management systems, SCHEDULING, DEEP learning, NP-hard problems, CLOUD computing, ALGORITHMS, PRODUCTION scheduling

MAA: multi-objective artificial algae algorithm for workflow scheduling in heterogeneous fog-cloud environment.

Autoren: Shukla, Prashant Pandey, Sudhakar

Quelle: Journal of Supercomputing; Jul2023, Vol. 79 Issue 10, p11218-11260, 43p

Schlagwörter: OPTIMIZATION algorithms, WORKFLOW, EVOLUTIONARY algorithms, HETEROGENEOUS computing, ALGORITHMS, FOG

Data-Aware Scheduling Strategy for Scientific Workflow Applications in IaaS Cloud Computing.

Autoren: Makhlouf, Sid Ahmed Yagoubi, Belabbas

Quelle: International Journal of Interactive Multimedia & Artificial Intelligence; Mar2019, Vol. 5 Issue 4, p75-85, 11p

Schlagwörter: CLOUD computing, METAHEURISTIC algorithms

Cost-effective approaches for deadline-constrained workflow scheduling in clouds.

Autoren: Li, Zengpeng Yu, Huiqun Fan, Guisheng

Quelle: Journal of Supercomputing; May2023, Vol. 79 Issue 7, p7484-7512, 29p

Schlagwörter: METAHEURISTIC algorithms, WORKFLOW management systems, WORKFLOW, HEURISTIC algorithms, CLOUD computing, SCHEDULING, EARTHQUAKE hazard analysis

Replication-Based Dynamic Energy-Aware Resource Provisioning for Scientific Workflows.

Autoren: Ala'anzy, Mohammed Alaa Othman, Mohamed Ibbini, Emad Mohammed et al.

Quelle: Applied Sciences (2076-3417); Feb2023, Vol. 13 Issue 4, p2644, 14p

Schlagwörter: WORKFLOW, WORKFLOW management systems, DISTRIBUTED computing, ENERGY consumption, INFRASTRUCTURE (Economics), CLOUD computing, LOAD balancing (Computer networks)

Budget‐aware scheduling algorithms for scientific workflows with stochastic task weights on infrastructure as a service Cloud platforms.

Autoren: Caniou, Yves Caron, Eddy Kong Win Chang, Aurélie et al.

Quelle: Concurrency & Computation: Practice & Experience; 9/10/2021, Vol. 33 Issue 17, p1-21, 21p

Schlagwörter: INFRASTRUCTURE (Economics), WORKFLOW management systems, CLOUD computing, COMMUNICATION infrastructure, WORKFLOW, CLOUD storage, ALGORITHMS