Title: A software‐defined networks ‐based measurement method of network traffic for 6G technologies

Journal Article · · Transactions on Emerging Telecommunications Technologies
DOI: https://doi.org/10.1002/ett.4172 · OSTI ID:1786415
 [1];  [2];  [3]
  1. School of Computer Science and Engineering Northeastern University Shenyang China
  2. School of Astronautics and Aeronautic University of Electronic Science and Technology of China Chengdu China
  3. School of Data Science and Software Engineering Qingdao University Qingdao China
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Abstract In software‐defined networks (SDN) for 6G technologies, the controller should accurately and efficiently measure the flow traffic in switches for traffic engineering. Fine‐grained flow measurement can more accurately describe the traffic in the network, but it also consumes much more resources. To reduce the overhead incurred in the measurement process and obtain the approximate fine‐grained measurements, we propose a novel lightweight measurement scheme that runs in the controller. The novel lightweight measurement architecture consists of two parts: coarse‐grained measurement and interpolation‐optimization. In the first part, based on the SDN architecture, we use the pull‐based random sampling method to quickly obtain the coarse‐grained measurement of flow traffic through OpenFlow protocol. In the second part, we insert some discrete values into the coarse‐grained measurement with the interpolation theory, then we optimize interpolation results until finding the optimal fine‐grained flow traffic measurement by utilizing the multiconstraint method. We verified the feasibility of the proposed measurement method, and simulation results show that the measurement error of the proposed method is under 25%, but the flow measurement overhead of this method occupies only 3.3% compared with that of the fine‐grained method.

Sponsoring Organization:
USDOE
OSTI ID:
1786415
Journal Information:
Transactions on Emerging Telecommunications Technologies, Journal Name: Transactions on Emerging Telecommunications Technologies Journal Issue: 4 Vol. 33; ISSN 2161-3915
Publisher:
Wiley Blackwell (John Wiley & Sons)Copyright Statement
Country of Publication:
Country unknown/Code not available
Language:
English

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