Cited By
View all- Ros STam PSong IKang SKim S(2024)Handling Efficient VNF Placement with Graph-Based Reinforcement Learning for SFC Fault ToleranceElectronics10.3390/electronics1313255213:13(2552)Online publication date: 28-Jun-2024
GreenNFV: Energy-Efficient Network Function Virtualization with Service Level Agreement Constraints
Article No.: 21, Pages 1 - 12
Abstract
Network Function Virtualization (NFV) platforms consume significant energy, introducing high operational costs in edge and data centers. This paper presents a novel framework called GreenNFV that optimizes resource usage for network function chains using deep reinforcement learning. GreenNFV optimizes resource parameters such as CPU sharing ratio, CPU frequency scaling, last-level cache (LLC) allocation, DMA buffer size, and packet batch size. GreenNFV learns the resource scheduling model from the benchmark experiments and takes Service Level Agreements (SLAs) into account to optimize resource usage models based on the different throughput and energy consumption requirements. Our evaluation shows that GreenNFV models achieve high transfer throughput and low energy consumption while satisfying various SLA constraints. Specifically, GreenNFV with Throughput SLA can achieve 4.4× higher throughput and 1.5× better energy efficiency over the baseline settings, whereas GreenNFV with Energy SLA can achieve 3× higher throughput while reducing energy consumption by 50%.
Supplemental Material
MP4 File - SC23 video presentation for "GreenNFV: Energy-Efficient Network Function Virtualization with Service Level Agreement Constraints"
SC23 video presentation for the main program paper "GreenNFV: Energy-Efficient Network Function Virtualization with Service Level Agreement Constraints" by : Md S. Q. Zulkar Nine, Tevfik Kosar, Muhammed Fatih Bulut and Jinho Hwang
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Index Terms
- GreenNFV: Energy-Efficient Network Function Virtualization with Service Level Agreement Constraints
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Published In
November 2023
1428 pages
ISBN:9798400701092
DOI:10.1145/3581784
- Chair:
- Dorian Arnold,
- Program Chair:
- Rosa M Badia,
- Program Co-chair:
- Kathryn Mohror
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Published: 11 November 2023
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Cited By
View all- Ros STam PSong IKang SKim S(2024)Handling Efficient VNF Placement with Graph-Based Reinforcement Learning for SFC Fault ToleranceElectronics10.3390/electronics1313255213:13(2552)Online publication date: 28-Jun-2024
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