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A New Data Placement Approach for Scientific Workflows in Cloud Computing Environments
[chapter]
2017
Advances in Intelligent Systems and Computing
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The reach of Cloud Computing technologies approved distributing with massive data applications such as Scientific Workflows, which processing huge scientific data in dispersed computing infrastructures ...
of resources in cloud environments. ...
The authors would like to acknowledge the financial support of this work by grants from General Direction of Scientific Research (DGRST), Tunisia, under the ARUB program. ...
doi:10.1007/978-3-319-53480-0_33
fatcat:hrdbvv533jfifirjf5vlhbpa6i
BDAP: A Big Data Placement Strategy for Cloud-Based Scientific Workflows
2015
2015 IEEE First International Conference on Big Data Computing Service and Applications
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In this new era of Big Data, there is a growing need to enable scientific workflows to perform computations at a scale far exceeding a single workstation's capabilities. ...
In this work, we 1) formalize the data placement problem in scientific workflows, 2) propose a data placement algorithm that considers both initial input dataset and intermediate datasets obtained during ...
The data placement solution for scientific workflow, W, to execute in a Cloud computing environment, C, is to select a data placement scheme Ψ P to minimize the workflow communication cost (WCC) under ...
doi:10.1109/bigdataservice.2015.70
dblp:conf/bigdataservice/EbrahimiMKL15
fatcat:fyyjfp3tdvgdlamr6klqtbtdna
Scientific Workflows in Heterogeneous Edge-Cloud Computing: A Data Placement Strategy Based on Reinforcement learning
[article]
2022
arXiv
pre-print
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The heterogeneous edge-cloud computing paradigm can provide an optimal solution to deploy scientific workflows compared to cloud computing or other traditional distributed computing environments. ...
Some state-of-the-art data placement strategies combine edge computing and cloud computing to distribute scientific datasets. ...
[21] proposed a data placement strategy based on k-means clustering for a scientific workflow in cloud environments. This approach focused on the data size and dependency. ...
arXiv:2205.07131v1
fatcat:lvtotbdfpfcmxbeygxwqplag2y
A Time-driven Data Placement Strategy for a Scientific Workflow Combining Edge Computing and Cloud Computing
[article]
2019
arXiv
pre-print
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Each task of a scientific workflow requires several large datasets that are located in different datacenters from the cloud computing environment, resulting in serious data transmission delays. ...
Compared to traditional distributed computing environments such as grids, cloud computing provides a more cost-effective way to deploy scientific workflows. ...
A. Problem Definition The problem definition includes a new hybrid environment combining edge computing and cloud computing, a scientific workflow, and a data placement strategy. ...
arXiv:1901.07216v2
fatcat:7ewchqr3vjgqhfgpuidfekzwgy
Data Placement in Era of Cloud Computing: a Survey, Taxonomy and Open Research Issues
2019
Scalable Computing : Practice and Experience
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This paper provides a complete survey and analyses of existing data placement schemes proposed in literature for cloud computing. ...
In cloud computing, data placement is a critical operation performed as part of workflow management and aims to find the best physical machine to place the data. ...
that make cloud computing possible.Recenetly data placement problem has become a hot topic in the area of cloud computing while considering the scientific workflow applications because it can greatly ...
doi:10.12694/scpe.v20i2.1530
fatcat:oqvuu2yqvnauhgpwtadmhn25ee
A Novel Workflow-Level Data Placement Strategy for Data-Sharing Scientific Cloud Workflows
2016
IEEE Transactions on Services Computing
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Cloud computing can provide a more cost-effective way to deploy scientific workflows than traditional distributed computing environments such as cluster and grid. ...
Due to the large size of scientific datasets, data placement plays an important role in scientific cloud workflow systems for improving system performance and reducing data transfer cost. ...
Then, all data placement maps of these workflows are assembled. And the new map is the final data placement map for all data-sharing scientific cloud workflows. ...
doi:10.1109/tsc.2016.2625247
fatcat:fpnjoe2m55fx7jf3f3fkvixfwa
A Survey on Data Placement Strategies for Cloud based Scientific Workflows
2016
International Journal of Computer Applications
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Several data placement strategies in cloud based scientific workflows are reviewed. A data placement scheme which uses big data to improve the performance and also the data movement cost is studied. ...
The ideal data placement scheme optimizes the execution of the data intensive scientific workflows in cloud by assigning the tasks to the execution site in such a way that the file transfers and the cost ...
The above discussed were some of the strategies for data placement in the cloud environment. ...
doi:10.5120/ijca2016909651
fatcat:a65624d6tbfcjmi2abjabydyti
Cloud Data Management for Scientific Workflows: Research Issues, Methodologies, and State-of-the-Art
2014
2014 10th International Conference on Semantics, Knowledge and Grids
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The emergence of cloud computing technologies offers a new way to develop scientific workflow systems. ...
As all the data are managed in the cloud, it is easy to share data among scientists. This kind of model is very convenient for users, but remains a big challenge to the system. ...
Acknowledgement The research work reported in this paper is partly supported by National Natural ...
doi:10.1109/skg.2014.37
dblp:conf/skg/YuanCL14
fatcat:suphvnfsujgc3ps2tbvsj6zaya
A data placement strategy in scientific cloud workflows
2010
Future generations computer systems
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In this paper, we propose a matrix based k-means clustering strategy for data placement in scientific cloud workflows. ...
In scientific cloud workflows, large amounts of application data need to be stored in distributed data centres. ...
Acknowledgements The research work reported in this paper is partly supported by Australian Research Council under Linkage Project LP0990393. ...
doi:10.1016/j.future.2010.02.004
fatcat:e425odz3nzfktcszaxuk4hfege
Task Offloading for Scientific Workflow Application in Mobile Cloud
2017
Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security
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Mobile cloud computing (MCC) provides significant opportunities in enhancing computation capability and saving energy of smart mobile devices (SMDs) by offloading computation-intensive and data-intensive ...
In this paper, we offer three entry points for the problem solving: first, a cost model based on the pay-as-you-go manner of IaaS Cloud is proposed; then, we investigate the problem of mapping strategy ...
suitable candidate to manage scientific workflow execution in mobile cloud computing environment. ...
doi:10.5220/0006364501360148
dblp:conf/iotbd/ZhangGLLHKL17
fatcat:w253pze5frgbbkaxskggbnedbu
DR-SWDF: A Dynamically Reconfigurable Framework for Scientific Workflows Deployment in the Cloud
2017
Scalable Computing : Practice and Experience
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Workflows management systems (WfMS) are aimed for designing, scheduling, executing, reusing, and sharing workflows in distributed environments like the Cloud computing. ...
In this paper, we propose a dynamically re-configurable framework for the deployment of scientific workflows in the Cloud (called DR-SWDF) that allows customizing the workflow deployment process according ...
In [9] , the authors propose a new algorithm WPRC (Workflow Partition Resource Clusters) for scheduling Scientific Workflows in the Cloud environment. ...
doi:10.12694/scpe.v18i2.1289
fatcat:mcku67bp2rdq5lw2ycftyjxuh4
Special section: Federated resource management in grid and cloud computing systems
2010
Future generations computer systems
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In the paper ''A Data Placement Strategy in Scientific Cloud Workflows'', Dong Yuan, Yun Yang, Xiao Liu, and Jinjun Chen propose a matrix based kmeans clustering strategy for data placement in scientific ...
In scientific Cloud workflows, large amounts of application data need to be stored in distributed data centers. ...
Software technologies for Grid and Cloud computing developed under Dr. ...
doi:10.1016/j.future.2010.06.003
fatcat:yqtgba7etjb6nopcpuxoq6defi
Guest Editor's Introduction: Special Issue on Cloud Computing Orchestration
2018
Journal of Grid Computing
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In "The Flowbster cloud-oriented workflow system to process large scientific data sets", Peter Kacsuk and co-authors detail a new workflow system, called Flowbster, aimed to create data pipelines which ...
efficiently process very large data sets on cloud computing environments. ...
doi:10.1007/s10723-018-9427-5
fatcat:y3r7dqrxe5cp5ep2xi7ywntd6u
A Systematic Mapping Study of Italian Research on Workflows
2023
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
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ACKNOWLEDGMENTS This work has been supported by ICSC -Centro Nazionale di Ricerca in High-Performance Computing, Big Data and Quantum Computing, funded by European Union -NextGenerationEU. ...
in a Computing Continuum environment. ...
PESOS [16] is an energy-efficient resource management algorithm for the placement of VMs in a Cloud environment, aiming to minimize the energy footprint of the overall platform while considering the ...
doi:10.1145/3624062.3624285
fatcat:6m3z42hglbhahkcy6huucndal4
Kepler + CometCloud: Dynamic Scientific Workflow Execution on Federated Cloud Resources
2016
Procedia Computer Science
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Nowadays, cloud computing is gaining traction as an on-demand and elastic computing resource for executing scientific workflows [9] . ...
In this context, cloud federations are being explored as means for extending as-a-service models to offer on-demand access to computing utilities, an abstraction of unlimited resources, customizable environments ...
Acknowledgments:The research presented in this work is supported in part by National Science Foundation (NSF) via grants numbers ACI 1339036, ACI 1310283, ACI 1441376. ...
doi:10.1016/j.procs.2016.05.363
fatcat:ntdd7b2g4jcutihx6nvzjebdaq
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