Fuzzy Theory-Based Data Placement for Scientific Workflows in Hybrid Cloud Environments
Joint Authors
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-17
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
In hybrid cloud environments, reasonable data placement strategies are critical to the efficient execution of scientific workflows.
Due to various loads, bandwidth fluctuations, and network congestions between different data centers as well as the dynamics of hybrid cloud environments, the data transmission time is uncertain.
Thus, it poses huge challenges to the efficient data placement for scientific workflows.
However, most of the traditional solutions for data placement focus on deterministic cloud environments, which lead to the excessive data transmission time of scientific workflows.
To address this problem, we propose an adaptive discrete particle swarm optimization algorithm based on the fuzzy theory and genetic algorithm operators (DPSO-FGA) to minimize the fuzzy data transmission time of scientific workflows.
The DPSO-FGA can rationally place the scientific workflow data while meeting the requirements of data privacy and the capacity limitations of data centers.
Simulation results show that the DPSO-FGA can effectively reduce the fuzzy data transmission time of scientific workflows in hybrid cloud environments.
American Psychological Association (APA)
Chen, Zheyi& Zhao, Xu& Lin, Bing. 2020. Fuzzy Theory-Based Data Placement for Scientific Workflows in Hybrid Cloud Environments. Discrete Dynamics in Nature and Society،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1153467
Modern Language Association (MLA)
Chen, Zheyi…[et al.]. Fuzzy Theory-Based Data Placement for Scientific Workflows in Hybrid Cloud Environments. Discrete Dynamics in Nature and Society No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1153467
American Medical Association (AMA)
Chen, Zheyi& Zhao, Xu& Lin, Bing. Fuzzy Theory-Based Data Placement for Scientific Workflows in Hybrid Cloud Environments. Discrete Dynamics in Nature and Society. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1153467
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1153467