An IoT-Oriented data placement method with privacy preservation in cloud environment

Xiaolong Xu, Shucun Fu, Lianyong Qi*, Xuyun Zhang, Qingxiang Liu, Qiang He, Shancang Li

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

82 Citations (Scopus)

Abstract

IoT (Internet of Things) devices generate huge amount of data which require rich resources for data storage and processing. Cloud computing is one of the most popular paradigms to accommodate such IoT data. However, the privacy conflicts combined in the IoT data makes the data placement problem more complicated, and the resource manager needs to take into account the resource efficiency, the power consumption of cloud data centers, and the data access time for the IoT applications while allocating the resources for the IoT data. In view of this challenge, an IoT-oriented Data Placement method with privacy preservation, named IDP, is designed in this paper. Technically, the resource utilization, energy consumption and data access time in the cloud data center with the fat-tree topology are analyzed first. Then a corresponding data placement method, based on the Non-dominated Sorting Genetic Algorithm II (NSGA-II), is designed to achieve high resource usage, energy saving and efficient data access, and meanwhile realize privacy preservation of the IoT data. Finally, extensive experimental evaluations validate the efficiency and effectiveness of our proposed method.

Original languageEnglish
Pages (from-to)148-157
Number of pages10
JournalJournal of Network and Computer Applications
Volume124
DOIs
Publication statusPublished - 15 Dec 2018
Externally publishedYes

Keywords

  • IoT
  • Data placement
  • Energy consumption
  • Privacy
  • Cloud

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