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- W2832659806 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." @default.
- W2832659806 created "2018-07-19" @default.
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- W2832659806 date "2018-04-01" @default.
- W2832659806 modified "2023-09-26" @default.
- W2832659806 title "Extending IoT/M2M system scalability by network slicing" @default.
- W2832659806 doi "https://doi.org/10.1109/noms.2018.8406254" @default.
- W2832659806 hasPublicationYear "2018" @default.
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