Extending IoT/M2M system scalability by network slicing

Bastida, David de la; Lin, Fuchun Joseph

doi:10.1109/noms.2018.8406254

Cited by 3 publications

(8 citation statements)

References 15 publications

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“…According to the above results, we speculate that implementing the horizontal scalability across the multiple slicing system may improve its performance and stability, which will be our future work. The research in [7] proved that network slicing can improve IoT/M2M scalability and fulfill different QoS requirements, which is also proved by our experimental results. However, the network slicing in [8] is based on SDN, while ours is based on NFV that has been adopted by the upcoming 3GPP 5G architecture.…”

Section: Resultssupporting

confidence: 68%

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Enabling IoT Network Slicing with Network Function Virtualization

Tsai¹,

Lin

2020

AIT

Self Cite

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Numerous Internet of Things (IoT) devices are being connected to the networks to offer services. To cope with a large diversity and number of IoT services, operators must meet those needs with a more flexible and efficient network architecture. Network slicing in 5G promises a feasible solution for this issue with network virtualization and programmability enabled by NFV (Network Functions Virtualization). In this research, we use virtualized IoT platforms as the Virtual Network Functions (VNFs) and customize network slices enabled by NFV with different QoS to support various kinds of IoT services for their best performance. We construct three different slicing systems including: 1) a single slice system, 2) a multiple customized slices system and 3) a single but scalable network slice system to support IoT services. Our objective is to compare and evaluate these three systems in terms of their throughput, average response time and CPU utilization in order to identify the best system design. Validated with our experiments, the performance of the multiple slicing system is better than those of the single slice systems whether it is equipped with scalability or not.

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Section: Resultssupporting

confidence: 68%

“…However, it is also possible to enable IoT network slicing by SDN. In [7], a network slicing environment for IoT is established via an OpenDaylight SDN controller to address the diverse QoS requirements of different IoT/M2M application. In our research,…”

Section: Introduction and Related Workmentioning

confidence: 99%

Enabling IoT Network Slicing with Network Function Virtualization

Tsai¹,

Lin

2020

AIT

Self Cite

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“…Hence, in a follow-up effort, we started to take the distinct QoS requirements (i.e. reliability, delay, and throughput) of different applications into consideration and assign each of them to a QoS-specific network slice [8] [23]. We have shown that by mapping various types of IoT/M2M applications to different network slices, it can significantly improve the platform scalability in terms of response time, power consumption, and computational cost.…”

Section: System Requirements and Related Workmentioning

confidence: 99%

“…In our previous work [8] [23], we created the network slices manually by defining a series of OpenFlow rules on each OVS and issuing multiple device-specific commands to set the actual QoS capabilities of each slice. Such a manual procedure is infeasible when deploying a large network.…”

Section: Slice Managermentioning

confidence: 99%

“…Our research proposes to improve the cloud-based IoT/M2M system scalability by assigning each different type of IoT/M2M applications to a different network slice configured with the appropriate QoS. Our published work [8] first addressed this problem by pre-provisioning a fixed number of network slices to serve the same number types of IoT/M2M applications. Nevertheless, the endless potential of IoT/M2M innovations makes such a static approach not practically applicable.…”

Section: Introductionmentioning

confidence: 99%

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Enhancing Cloud-Based IoT/M2M System Scalability by Dynamic Network Slicing

Bastida¹,

Lin²

2020

Self Cite

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With ever-increasing applications of IoT, and due to the heterogeneous and bursty nature of these applications, scalability has become an important research issue in building cloud-based IoT/M2M systems. This research proposes a dynamic SDN-based network slicing mechanism to tackle the scalability problems caused by such heterogeneity and fluctuation of IoT application requirements. The proposed method can automatically create a network slice on-the-fly for each new type of IoT application and adjust the QoS characteristics of the slice dynamically according to the changing requirements of an IoT application. Validated with extensive experiments, the proposed mechanism demonstrates better platform scalability when compared to a static slicing system.

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RSCM: A Reliability-Aware Service Chain Mapping

Guanjun

Chen

et al. 2019

Lecture Notes in Computer Science

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Extending IoT/M2M system scalability by network slicing

Cited by 3 publications

References 15 publications

Enabling IoT Network Slicing with Network Function Virtualization

Enabling IoT Network Slicing with Network Function Virtualization

Enhancing Cloud-Based IoT/M2M System Scalability by Dynamic Network Slicing

RSCM: A Reliability-Aware Service Chain Mapping

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