Efficient Traffic Engineering in an NFV Enabled IoT System†
The Internet of Things (IoT) is increasingly creating new market possibilities in several industries’ sectors such as smart homes, smart manufacturing, and smart cities, to link the digital and physical worlds. A key challenge in an IoT system is to ensure network performance and cost-efficiency whe...
Lưu vào:
| Tác giả chính: | , |
|---|---|
| Định dạng: | Bài Báo |
| Ngôn ngữ: | English |
| Nhà xuất bản: |
MDPI
2020
|
| Chủ đề: | |
| Truy cập trực tuyến: | https://dlib.phenikaa-uni.edu.vn/handle/PNK/397 https://doi.org/10.3390/s20113198 |
| Từ khóa: |
Thêm từ khóa
Không có từ khóa, Hãy là người đầu tiên đánh dấu biểu ghi này!
|
| id |
oai:localhost:PNK-397 |
|---|---|
| record_format |
dspace |
| spelling |
oai:localhost:PNK-3972022-08-17T05:54:37Z Efficient Traffic Engineering in an NFV Enabled IoT System† Nguyen Thi Thuy, Lien Pham Tuan, Minh internet of things vIoT network functions virtualization traffic engineering optimization The Internet of Things (IoT) is increasingly creating new market possibilities in several industries’ sectors such as smart homes, smart manufacturing, and smart cities, to link the digital and physical worlds. A key challenge in an IoT system is to ensure network performance and cost-efficiency when a plethora of data is generated and proliferated. The adoption of Network Function Virtualization (NFV) technologies within an IoT environment enables a new approach of providing services in a more agile and cost-efficient way. We address the problem of traffic engineering with multiple paths for an NFV enabled IoT system (vIoT), taking into account the fluctuation of traffic volume in various time periods. We first formulate the problem as a mixed linear integer programming model for finding the optimal solution of link-weight configuration and traffic engineering. We then develop heuristic algorithms for a vIoT system with a large number of devices. Our solution enables a controller to adjust a link weight system and update a flow table at an NFV switch for directing IoT traffic through a service function chain in a vIoT system. The evaluation results under both synthetic and real-world datasets of network traffic and topologies show that our approach to traffic engineering with multiple paths remarkably improves several performance metrics for a vIoT system. 2020-06-18T03:13:19Z 2020-06-18T03:13:19Z 2020 Article Working Paper https://dlib.phenikaa-uni.edu.vn/handle/PNK/397 https://doi.org/10.3390/s20113198 en application/pdf MDPI |
| institution |
Digital Phenikaa |
| collection |
Digital Phenikaa |
| language |
English |
| topic |
internet of things vIoT network functions virtualization traffic engineering optimization |
| spellingShingle |
internet of things vIoT network functions virtualization traffic engineering optimization Nguyen Thi Thuy, Lien Pham Tuan, Minh Efficient Traffic Engineering in an NFV Enabled IoT System† |
| description |
The Internet of Things (IoT) is increasingly creating new market possibilities in several industries’ sectors such as smart homes, smart manufacturing, and smart cities, to link the digital and physical worlds. A key challenge in an IoT system is to ensure network performance and cost-efficiency when a plethora of data is generated and proliferated. The adoption of Network Function Virtualization (NFV) technologies within an IoT environment enables a new approach of providing services in a more agile and cost-efficient way. We address the problem of traffic engineering with multiple paths for an NFV enabled IoT system (vIoT), taking into account the fluctuation of traffic volume in various time periods. We first formulate the problem as a mixed linear integer programming model for finding the optimal solution of link-weight configuration and traffic engineering. We then develop heuristic algorithms for a vIoT system with a large number of devices. Our solution enables a controller to adjust a link weight system and update a flow table at an NFV switch for directing IoT traffic through a service function chain in a vIoT system. The evaluation results under both synthetic and real-world datasets of network traffic and topologies show that our approach to traffic engineering with multiple paths remarkably improves several performance metrics for a vIoT system. |
| format |
Article |
| author |
Nguyen Thi Thuy, Lien Pham Tuan, Minh |
| author_facet |
Nguyen Thi Thuy, Lien Pham Tuan, Minh |
| author_sort |
Nguyen Thi Thuy, Lien |
| title |
Efficient Traffic Engineering in an NFV Enabled IoT System† |
| title_short |
Efficient Traffic Engineering in an NFV Enabled IoT System† |
| title_full |
Efficient Traffic Engineering in an NFV Enabled IoT System† |
| title_fullStr |
Efficient Traffic Engineering in an NFV Enabled IoT System† |
| title_full_unstemmed |
Efficient Traffic Engineering in an NFV Enabled IoT System† |
| title_sort |
efficient traffic engineering in an nfv enabled iot system† |
| publisher |
MDPI |
| publishDate |
2020 |
| url |
https://dlib.phenikaa-uni.edu.vn/handle/PNK/397 https://doi.org/10.3390/s20113198 |
| _version_ |
1751856307662487552 |
| score |
8.891145 |