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access icon openaccess Data privacy-based coordinated placement method of workflows and data

  • Author(s): Tao Huang 1, 2 ; Shengjun Xue 2, 3 ; Yumei Hu 4 ; Yiran Shi 2 ; Wei Jin 2
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  • Source: Volume 5, Issue 4, December 2020, p. 342 – 350
    DOI:  10.1049/iet-cps.2020.0007 , Online ISSN 2398-3396
This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received 11/02/2020, Accepted 19/06/2020, Revised 25/04/2020, Published 02/10/2020

With the rapid development of data acquisition technology, many industries data already have the characteristics of big data and cloud technology has provided strong support for the storage and complex calculations of these massive data. The meteorological department established the cloud data centre based on the existing storage and computing resources and re-arranged the historical data to reduce the historical data access time of applications. However, the placement of each workflow and input data also affects the average data access time, which in turn affects the computing efficiency of the cloud data centre. At the same time, because of the collaborative processing of multiple nodes, the resource utilisation of cloud data centre has also been paid more and more attention. In addition, with the increase of data security requirements, some privacy conflict data should avoid being placed on the same or neighbouring nodes. In response to this challenge, based on the fat-tree network topology, this study proposes a data privacy protection-based collaborative placement strategy of workflow and data to jointly optimise the average data access time, the average resource utilisation, and the data conflict degree. Finally, a large number of experimental evaluations and comparative analyses verify the efficiency of the proposed method.

Inspec keywords: security of data; data acquisition; data privacy; telecommunication network topology; cloud computing; computer centres; trees (mathematics)

Other keywords: cloud technology; workflows; privacy conflict data; data security requirements; average data access time; historical data access time; computing resources; data privacy protection-based collaborative placement strategy; existing storage; data privacy-based; cloud data centre; massive data; big data; data conflict degree; data acquisition technology

Subjects: Data security; Internet software; Communication network design, planning and routing

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