Dynamic Token Allocation Strategy Based on Weight in TCSN System
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DOI: 10.23977/CNCI2020027
Author(s)
Zhe Du, Xiaowen Dai and Jing Yu
Corresponding Author
Zhe Du
ABSTRACT
In the Train Control and Service Network (TCSN) system, ensuring the quality of train control and passenger services is important. However, traditional traffic shaping methods are static, they can’t adapt to the changing state of the network load. Therefore, the dynamic token allocation strategy based on weight is proposed. On the basis of traditional token bucket traffic shaping method, an overflow token bucket is added, and a two-level token allocation algorithm is used to dynamically adjust. Taking the current packet loss rate of each bucket, the number of cached packets and the number of tokens in the bucket as evaluation indicators. So the weight of the token bucket is determined. And combined with the weighted maximum and minimum fair allocation algorithm, tokens in the overflow bucket can be fairly distributed, therefore the packet loss rate of each bucket has dropped greatly.
KEYWORDS
Token bucket; traffic shaping; packet loss rate; entropy weight method