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Conference Paper An Architecture of SRv6-based Programmable Service Flow Management in Data Center
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Authors
Hyunkyung Yoo, Sunghyuk Byun, Namseok Ko
Issue Date
2024-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2024, pp.1048-1049
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC62082.2024.10827503
Abstract
As the demand for distributed and high-volume data processing services increases, it is necessary to provide efficient traffic distribution across available paths to improve network utilization in data centers. This paper presents an SRv6-based programmable service flow management architecture in data centers, optimized for traffic patterns and network status information in a leaf-spine topology. By dynamically adjusting link weights in response to network conditions, the system ensures that traffic is directed along the most efficient routes, thereby enhancing overall network performance and optimizing resource utilization.
KSP Keywords
Data center, Data processing, Leaf-Spine, Link weight, Network performance, Network status, Network utilization, Resource utilization, Status information, Traffic pattern, dynamically adjusting