Software-Defined Network Resource Optimization of the Data Center Based on P4 Programming Language

This paper makes use of the new architecture software-defined network (SDN) in the cloud data center based on P4 language to realize the flexible management and configuration of the network equipment to achieve (a) data center virtualization management and (b) data center resource optimization based...

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Bibliographic Details
Published in:Mobile information systems 2021-08, Vol.2021, p.1-7
Main Authors: Peng, Fei, Cao, Tianjie
Format: Article
Language:English
Subjects:
Algorithms
Bandwidths
Cloud computing
Computer centers
Configuration management
Data centers
Downtime
Flexibility
Network management systems
Optimization
Programming languages
Quality of service architectures
Software-defined networking
Virtual environments
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Summary:This paper makes use of the new architecture software-defined network (SDN) in the cloud data center based on P4 language to realize the flexible management and configuration of the network equipment to achieve (a) data center virtualization management and (b) data center resource optimization based on the P4 programming language. Furthermore, error tolerance of dynamic network optimization depends on the virtual machine (VM) online migration technology, and the load balancing mechanism has a very good flexibility. At the same time, the paper proposed a multipath VM migration strategy based on a quality of service (QoS) mechanism, which divides the VM migration resources into different QoS flows by network dynamic transmission and then selects valid forwarding for each flow path to migrate VMs. This ensures to improve the overall migration performance of VMs and ultimately the dynamic optimization of the network resources and their management. Our experimental evaluations show that the proposed model is approximately 13% and 17% better than the traditional state-of-the-art methods in terms of minimum migration time and the least downtime, respectively.
ISSN:1574-017X
1875-905X
DOI:10.1155/2021/3601104