An Adaptive Data Placement Architecture in Multicloud Environments
Joint Authors
Wang, Pengwei
Zhao, Caihui
Wei, Yi
Wang, Dong
Zhang, Zhaohui
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-10
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Cloud service providers (CSPs) can offer infinite storage space with cheaper maintenance cost compared to the traditional storage mode.
Users tend to store their data in geographical and diverse CSPs so as to avoid vendor lock-in.
Static data placement has been widely studied in recent works.
However, the data access pattern is often time-varying and users may pay more cost if static placement is adopted during the data lifetime.
Therefore, it is a pending problem and challenge of how to dynamically store users’ data under time-varying data access pattern.
To this end, we propose ADPA, an adaptive data placement architecture that can adjust the data placement scheme based on the time-varying data access pattern and subject for minimizing the total cost and maximizing the data availability.
The proposed architecture includes two main components: data retrieval frequency prediction module based on LSTM and data placement optimization module based on Q-learning.
The performance of ADPA is evaluated through several experimental scenarios using NASA-HTTP workload and cloud providers information.
American Psychological Association (APA)
Wang, Pengwei& Zhao, Caihui& Wei, Yi& Wang, Dong& Zhang, Zhaohui. 2020. An Adaptive Data Placement Architecture in Multicloud Environments. Scientific Programming،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1208981
Modern Language Association (MLA)
Wang, Pengwei…[et al.]. An Adaptive Data Placement Architecture in Multicloud Environments. Scientific Programming No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1208981
American Medical Association (AMA)
Wang, Pengwei& Zhao, Caihui& Wei, Yi& Wang, Dong& Zhang, Zhaohui. An Adaptive Data Placement Architecture in Multicloud Environments. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1208981
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208981