What is it about?
In our research, we developed a method to efficiently manage and adjust virtual network functions in large datacenters to handle varying levels of network traffic. By using a distributed approach called ADMM, we can balance the workload and scale up or down these functions as needed, reducing costs and improving performance.
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Why is it important?
In our research, we developed a method to efficiently manage and adjust virtual network functions in large datacenters to handle varying levels of network traffic. By using a distributed approach called ADMM, we can balance the workload and scale up or down these functions as needed, reducing costs and improving performance.
Perspectives
As an expert in the field of network optimization, I find this publication on Distributed VNF Scaling in Large-scale Datacenters to be highly insightful and innovative. The use of the ADMM approach to efficiently manage Virtual Network Functions in datacenters is a significant contribution to the field of network function virtualization. The focus on addressing over and underloaded situations in service chains demonstrates a practical solution to optimize resource utilization and enhance network performance. Overall, this work provides valuable insights into the challenges of scaling VNFs in large datacenters and offers a promising approach to address these issues effectively.
AhmadReza Montazerolghaem
University of Isfahan
Read the Original
This page is a summary of: Distributed VNF scaling in large-scale datacenters: An ADMM-based approach, October 2017, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/icct.2017.8359682.
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