OpenStack-Based Highly Scalable IoT/M2M Platforms

Bastida, David de la; Lin, Fuchun Joseph

doi:10.1109/ithings-greencom-cpscom-smartdata.2017.110

Cited by 10 publications

(6 citation statements)

References 12 publications

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“…The payload size of each request sent by Traffic Generator will be based on the settings defined in Table 4. For the single slice scalable system, we follow the workflow for scaling as illustrated in Figure 6, and set the scale-out threshold to 50% and the scale-in threshold to 10% as in [29] [30]. • In the first stage, we will follow the configuration in Table 4 to send data to each system for 30 seconds.…”

Section: Resultsmentioning

confidence: 99%

Enabling IoT Network Slicing with Network Function Virtualization

Tsai¹,

Lin

2020

AIT

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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: Resultsmentioning

confidence: 99%

Enabling IoT Network Slicing with Network Function Virtualization

Tsai¹,

Lin

2020

AIT

Self Cite

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“…On the other hand, we also verified whether the dynamic slicing system would increase the computational and power cost because it requires more complex operations than the static slicing system and how far this cost is from that of the static system. The CPU and memory usage results are shown in Figure 14 and the amount of power consumed is proportional to the amount of CPU and memory utilized [8] [22] [23] as depicted in Figure 15.…”

Section: Results Of Evaluationmentioning

confidence: 99%

“…This motivated us to look for better scalability solutions. After applying horizontal [22] [23] and static vertical [8] scalability approaches in our prior efforts, this research has furthered IoT/M2M scalability using a dynamic vertical approach. The obtained results demonstrate that existing cloud environments can take advantage of SDN-based network slicing and network virtualization technologies to enable a new level of vertical scalability with better results.…”

Section: Discussionmentioning

confidence: 99%

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

Bastida¹,

Lin²

2020

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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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“…• Common Services Entity (CSE), which is a set of oneM2M-specified common service functions that can be used by AE, such as data storage, access control, event detection, etc. [21] utilized the OpenStack Cloud for VM horizontal scalability in order to offer faster response time with the tradeoff of higher energy consumption. Both of the above researches focused only on horizontal scalability and operated in the VM-based environment.…”

Section: Iot Platformmentioning

confidence: 99%

Tackling IoT Scalability with 5G NFV-Enabled Network Slicing

Lee¹,

Lin

2021

AIT

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With emerging large volume and diverse heterogeneity of Internet of Things (IoT) applications, the one-size-fits-all design of the current 4G networks is no longer adequate to serve various types of IoT applications. Consequently, the concepts of network slicing enabled by Network Function Virtualization (NFV) have been proposed in the upcoming 5G networks. 5G network slicing allows IoT applications of different QoS requirements to be served by different virtual networks. Moreover, these network slices are equipped with scalability that allows them to grow or shrink their instances of Virtual Network Functions (VNFs) when needed. However, all current research only focuses on scalability on a single network slice, which is the scalability at the VNF level only. Such a design will eventually reach the capacity limit of a single slice under stressful incoming traffic, and cause the breakdown of an IoT system. Therefore, we propose a new IoT scalability architecture in this research to provide scalability at the NS level and design a testbed to implement the proposed architecture in order to verify its effectiveness. For evaluation, three systems are compared for their throughput, response time, and CPU utilization under three different types of IoT traffic, including the single slice scaling system, the multiple slices scaling system and the hybrid scaling system where both single slicing and multiple slicing can be simultaneously applied. Due to the balanced tradeoff between slice scalability and resource availability, the hybrid scaling system turns out to perform the best in terms of throughput and response time with medium CPU utilization.

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OpenStack-Based Highly Scalable IoT/M2M Platforms

Cited by 10 publications

References 12 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

Tackling IoT Scalability with 5G NFV-Enabled Network Slicing

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