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Journal of Zhejiang University SCIENCE C 1998 Vol.-1 No.-1 P.

http://doi.org/10.1631/FITEE.2300593


HSDBA: a hierarchical and scalable dynamic bandwidth allocation for programmable data planes


Author(s):  Dengyu RAN, Xiao CHEN, Lei SONG

Affiliation(s):  National Network New Media Engineering Research Center, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China; more

Corresponding email(s):   randy@dsp.ac.cn, xxchen@dsp.ac.cn, songl@dsp.ac.cn

Key Words:  Dynamic bandwidth allocation, Software-defined networking, Programmable data plane, POF software switch c Zhejiang University Press 2024


Dengyu RAN, Xiao CHEN, Lei SONG. HSDBA: a hierarchical and scalable dynamic bandwidth allocation for programmable data planes[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .

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Abstract: 
dynamic bandwidth allocation (DBA) is a fundamental challenge in the realm of networking. The rapid, accurate, and fair allocation of bandwidth is crucial for network service providers to fulfill service-level agreements (SLAs), alleviate link congestion, and devise strategies to counter network attacks. However, existing bandwidth allocation algorithms mainly operate on the control plane of the software-defined networking (SDN) paradigm, which can lead to considerable probing overhead and convergence latency. Moreover, contemporary network architectures necessitate a hierarchical bandwidth allocation system that addresses latency requirements. We introduce a finegrained, hierarchical and scalable DBA algorithm – the HSDBA algorithm – implemented on the programmable data plane. This algorithm reduces network overhead and latency between the data plane and the controller, and it is proficient in dynamically adding and removing network configurations. We investigated the practicality of HSDBA using protocol oblivious forwarding (POF) software switches. Experimental results show that HSDBA achieves fair bandwidth allocation and isolation guarantee within approximately 25 packets. It boasts a convergence speed 1.4 times faster than the most recent algorithm, namely, AHAB; meanwhile, it maintains a bandwidth enforcement accuracy of 98.1%.

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