A Data Placement Strategy for Data-Intensive Scientific Workflows in Cloud

2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing ◽

10.1109/ccgrid.2015.72 ◽

2015 ◽

Cited By ~ 10

Author(s):

Qing Zhao ◽

Congcong Xiong ◽

Xi Zhao ◽

Ce Yu ◽

Jian Xiao

Keyword(s):

Data Placement ◽

Scientific Workflows ◽

Data Intensive

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A Data Placement Method Based on Bayesian Network for Data-Intensive Scientific Workflows

2012 International Conference on Computer Science and Service System ◽

10.1109/csss.2012.451 ◽

2012 ◽

Cited By ~ 3

Author(s):

Feng Ma ◽

Ying Yang ◽

Tianwen Li

Keyword(s):

Bayesian Network ◽

Data Placement ◽

Scientific Workflows ◽

Data Intensive ◽

Placement Method

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An incremental reinforcement learning scheduling strategy for data‐intensive scientific workflows in the cloud

Concurrency and Computation Practice and Experience ◽

10.1002/cpe.6193 ◽

2021 ◽

Author(s):

André Nascimento ◽

Vítor Silva ◽

Aline Paes ◽

Daniel Oliveira

Keyword(s):

Reinforcement Learning ◽

Scientific Workflows ◽

Scheduling Strategy ◽

Data Intensive

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An adaptive data placement strategy in scientific workflows over cloud computing environments

NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium ◽

10.1109/noms.2018.8406191 ◽

2018 ◽

Cited By ~ 5

Author(s):

Heewon Kim ◽

Yoonhee Kim

Keyword(s):

Cloud Computing ◽

Data Placement ◽

Scientific Workflows ◽

Computing Environments

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Ensemble Learning of Run-Time Prediction Models for Data-Intensive Scientific Workflows

Communications in Computer and Information Science - High Performance Computing ◽

10.1007/978-3-662-45483-1_7 ◽

2014 ◽

pp. 83-97 ◽

Cited By ~ 2

Author(s):

David A. Monge ◽

Matĕj Holec ◽

Filip Z̆elezný ◽

Carlos García Garino

Keyword(s):

Ensemble Learning ◽

Prediction Models ◽

Scientific Workflows ◽

Data Intensive ◽

Time Prediction ◽

Run Time

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Optimizing VM allocation and data placement for data-intensive applications in cloud using ACO metaheuristic algorithm

Engineering Science and Technology an International Journal ◽

10.1016/j.jestch.2016.11.006 ◽

2017 ◽

Vol 20 (2) ◽

pp. 616-628 ◽

Cited By ~ 25

Author(s):

T.P. Shabeera ◽

S.D. Madhu Kumar ◽

Sameera M. Salam ◽

K. Murali Krishnan

Keyword(s):

Data Placement ◽

Metaheuristic Algorithm ◽

Data Intensive ◽

Vm Allocation ◽

Data Intensive Applications

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A Data Placement Strategy Based on Genetic Algorithm for Scientific Workflows

2012 Eighth International Conference on Computational Intelligence and Security ◽

10.1109/cis.2012.40 ◽

2012 ◽

Cited By ~ 11

Author(s):

Zhao Er-Dun ◽

Qi Yong-Qiang ◽

Xiang Xing-Xing ◽

Chen Yi

Keyword(s):

Genetic Algorithm ◽

Data Placement ◽

Scientific Workflows

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Grouping-Aware Data Placement in HDFS for Data-Intensive Applications Based on Graph Clustering

Advances in Computer and Computational Sciences - Advances in Intelligent Systems and Computing ◽

10.1007/978-981-10-3773-3_3 ◽

2017 ◽

pp. 21-31 ◽

Cited By ~ 2

Author(s):

S. Vengadeswaran ◽

S. R. Balasundaram

Keyword(s):

Graph Clustering ◽

Data Placement ◽

Data Intensive ◽

Data Intensive Applications

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A hybrid evolutionary algorithm for task scheduling and data assignment of data-intensive scientific workflows on clouds

Future Generation Computer Systems ◽

10.1016/j.future.2017.05.017 ◽

2017 ◽

Vol 76 ◽

pp. 1-17 ◽

Cited By ~ 18

Author(s):

Luan Teylo ◽

Ubiratam de Paula ◽

Yuri Frota ◽

Daniel de Oliveira ◽

Lúcia M.A. Drummond

Keyword(s):

Evolutionary Algorithm ◽

Task Scheduling ◽

Scientific Workflows ◽

Hybrid Evolutionary Algorithm ◽

Data Intensive

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Science in the Cloud: Allocation and Execution of Data-Intensive Scientific Workflows

Journal of Grid Computing ◽

10.1007/s10723-013-9282-3 ◽

2013 ◽

Vol 12 (2) ◽

pp. 245-264 ◽

Cited By ~ 41

Author(s):

Claudia Szabo ◽

Quan Z. Sheng ◽

Trent Kroeger ◽

Yihong Zhang ◽

Jian Yu

Keyword(s):

Scientific Workflows ◽

Data Intensive

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Combining Static and Dynamic Storage Management for Data Intensive Scientific Workflows

IEEE Transactions on Parallel and Distributed Systems ◽

10.1109/tpds.2017.2764897 ◽

2018 ◽

Vol 29 (2) ◽

pp. 338-350 ◽

Cited By ~ 7

Author(s):

Nicholas Hazekamp ◽

Nathaniel Kremer-Herman ◽

Benjamin Tovar ◽

Haiyan Meng ◽

Olivia Choudhury ◽

...

Keyword(s):

Storage Management ◽

Scientific Workflows ◽

Data Intensive ◽

Dynamic Storage Management ◽

Dynamic Storage

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