TY - GEN
T1 - A multi-objective data placement method for iot applications over big data using nsga-II
AU - Xu, Xiaolong
AU - Gu, Renhao
AU - Yuan, Yuan
AU - Peng, Kai
AU - Chen, Yadang
AU - Dou, Wanchun
AU - Liu, Alex X.
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7
Y1 - 2018/7
N2 - The Internet of Things has been developing fast since it connects various devices for human beings to use, monitor or configure these devices, which brings great convenience. Generally, the big data generated by the sensors of IoT applications needs to be collected, stored and processed to realize the services of such applications. For the execution of task from the IoT applications, it may need a variety of datasets for tasks to access and process. However, it is still a challenge to realize the data placement method when taking into account the resource utilization and the energy consumption in data centers along with the data access time for the task sets to access the datasets. In view of this challenge, a multi-objectives data placement method for IoT applications over big data is proposed in this paper. Technically, multi-objectives are analyzed first. Then a heuristic data placement method is designed based on Non-Dominated Sorting Genetic Algorithm II (NSGA-II). Consequentially, experimental evaluation and comparison analysis are conducted to validate the efficiency and effectiveness of our proposed method.
AB - The Internet of Things has been developing fast since it connects various devices for human beings to use, monitor or configure these devices, which brings great convenience. Generally, the big data generated by the sensors of IoT applications needs to be collected, stored and processed to realize the services of such applications. For the execution of task from the IoT applications, it may need a variety of datasets for tasks to access and process. However, it is still a challenge to realize the data placement method when taking into account the resource utilization and the energy consumption in data centers along with the data access time for the task sets to access the datasets. In view of this challenge, a multi-objectives data placement method for IoT applications over big data is proposed in this paper. Technically, multi-objectives are analyzed first. Then a heuristic data placement method is designed based on Non-Dominated Sorting Genetic Algorithm II (NSGA-II). Consequentially, experimental evaluation and comparison analysis are conducted to validate the efficiency and effectiveness of our proposed method.
KW - big data
KW - data placement
KW - iot applications
KW - NSGA-II
UR - http://www.scopus.com/inward/record.url?scp=85067878556&partnerID=8YFLogxK
U2 - 10.1109/Cybermatics_2018.2018.00108
DO - 10.1109/Cybermatics_2018.2018.00108
M3 - 会议稿件
AN - SCOPUS:85067878556
T3 - Proceedings - IEEE 2018 International Congress on Cybermatics: 2018 IEEE Conferences on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018
SP - 503
EP - 509
BT - Proceedings - IEEE 2018 International Congress on Cybermatics
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE International Congress on Conferences on Internet of Things, 14th IEEE International Conference on Green Computing and Communications, 11th IEEE International Conference on Cyber, Physical and Social Computing, 4th IEEE International Conference on Smart Data, 1st IEEE International Conference on Blockchain and 18th IEEE International Conference on Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018
Y2 - 30 July 2018 through 3 August 2018
ER -
