TY - GEN
T1 - A new Infrastructure as a Service for IoT-Cloud
AU - Hammoudi, Sarra
AU - Aliouat, Zibouda
AU - Harous, Saad
N1 - Funding Information:
This research work is supported in part by PHC-Tassili Grant Number 18MDU114, and in part by UAEU/UPAR Grant Number 31T066.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/28
Y1 - 2018/8/28
N2 - The Internet of Things (IoT) enables the smart devices to be inter-connected. They share information with each other, with us and cloud based applications. These devices combine the physical and digital world and produce a huge amount of data to enhance the productivity of life, industries and society by providing smart services. IoT applications based on smart sensors open a new challenge which is the need of big data storage and huge computation power to provide real time data processing. IoT-Cloud solves such a problem since it provides a huge storage capacity. It also provides users on-demand access to resources at any place and any time.This work is designed to support any system where a huge data is generated and processed in real time such as a traffic monitoring system, a health system for obesity management using sensory and social data. We propose in this paper a new Infrastructure as a Service (IaaS) that provides an intelligent data storage to minimize the latency of any input and output data requests in a massive data storage and a huge number of servers. To ensure a high critical data availability, our IaaS supplies Cloud servers with high monitoring, backup and recovery services in case of a server failure. The proposed approach is termed Reliable lOad Balancing Using Specialization for ioT critical application (ROBUST). We compared the latency of an output file request and the complexity of searching the replicated version of a critical data of ROBUST to a recent IaaS architecture called Load Balancing in the Cloud Using Specialization (LBCS) and the classic one. The results shows a remarkable enhancement in terms of the complexity and the latency of an output file request.
AB - The Internet of Things (IoT) enables the smart devices to be inter-connected. They share information with each other, with us and cloud based applications. These devices combine the physical and digital world and produce a huge amount of data to enhance the productivity of life, industries and society by providing smart services. IoT applications based on smart sensors open a new challenge which is the need of big data storage and huge computation power to provide real time data processing. IoT-Cloud solves such a problem since it provides a huge storage capacity. It also provides users on-demand access to resources at any place and any time.This work is designed to support any system where a huge data is generated and processed in real time such as a traffic monitoring system, a health system for obesity management using sensory and social data. We propose in this paper a new Infrastructure as a Service (IaaS) that provides an intelligent data storage to minimize the latency of any input and output data requests in a massive data storage and a huge number of servers. To ensure a high critical data availability, our IaaS supplies Cloud servers with high monitoring, backup and recovery services in case of a server failure. The proposed approach is termed Reliable lOad Balancing Using Specialization for ioT critical application (ROBUST). We compared the latency of an output file request and the complexity of searching the replicated version of a critical data of ROBUST to a recent IaaS architecture called Load Balancing in the Cloud Using Specialization (LBCS) and the classic one. The results shows a remarkable enhancement in terms of the complexity and the latency of an output file request.
KW - Cloud Computing
KW - IoT
KW - IoT-Cloud
KW - Smart sensors
KW - WSN
UR - http://www.scopus.com/inward/record.url?scp=85053914518&partnerID=8YFLogxK
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U2 - 10.1109/IWCMC.2018.8450503
DO - 10.1109/IWCMC.2018.8450503
M3 - Conference contribution
AN - SCOPUS:85053914518
SN - 9781538620700
T3 - 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018
SP - 786
EP - 792
BT - 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018
Y2 - 25 June 2018 through 29 June 2018
ER -