@inproceedings{4b813e3401c5484786a362be8a4d38e8,
title = "Extending IoT/M2M system scalability by network slicing",
abstract = "In this research, we have extended our initial effort in cloud-based IoT/M2M system scalability and developed a more robust solution by considering diverse QoS requirements from various IoT/M2M traffic patterns. Though our initial effort created a highly scalable architecture for IoT/M2M platforms based on OpenStack, it treated all IoT/M2M traffic without any discrepancy in the same underlying network (i.e. in the same network slice). Now, by leveraging software-defined networking in OpenStack and by using our traffic-slice optimal matching algorithm, we can direct different types of IoT traffic to feasible network slices in terms of QoS. Our experiments show that when compared with a system without network slicing, our scalability system performs better in terms of response time, power consumption, and computational cost.",
keywords = "Cloud Computing, Internet of Things, Network Slicing, OpenStack, QoS Matching, Scalability, SDN",
author = "{De La Bastida}, David and Fuchun Lin",
year = "2018",
month = jul,
day = "6",
doi = "10.1109/NOMS.2018.8406254",
language = "English",
series = "IEEE/IFIP Network Operations and Management Symposium: Cognitive Management in a Cyber World, NOMS 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--8",
booktitle = "IEEE/IFIP Network Operations and Management Symposium",
address = "美國",
note = "2018 IEEE/IFIP Network Operations and Management Symposium, NOMS 2018 ; Conference date: 23-04-2018 Through 27-04-2018",
}