TY - JOUR
T1 - An IoT-Oriented data placement method with privacy preservation in cloud environment
AU - Xu, Xiaolong
AU - Fu, Shucun
AU - Qi, Lianyong
AU - Zhang, Xuyun
AU - Liu, Qingxiang
AU - He, Qiang
AU - Li, Shancang
PY - 2018/12/15
Y1 - 2018/12/15
N2 - 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.
AB - 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.
KW - IoT
KW - Data placement
KW - Energy consumption
KW - Privacy
KW - Cloud
UR - http://www.scopus.com/inward/record.url?scp=85054580283&partnerID=8YFLogxK
U2 - 10.1016/j.jnca.2018.09.006
DO - 10.1016/j.jnca.2018.09.006
M3 - Article
AN - SCOPUS:85054580283
SN - 1084-8045
VL - 124
SP - 148
EP - 157
JO - Journal of Network and Computer Applications
JF - Journal of Network and Computer Applications
ER -