A Novel Dynamic Bandwidth Allocation Algorithm with Correction-based the Multiple Traffic Prediction in EPON
Ziyi Fu, Juanjuan Bai, Qiang Wang
Abstract
Ziyi Fu, Juanjuan Bai, Qiang Wang
Abstract
Abstract—According to the upstream TDM in the system of Ethernet passive optical network (EPON), this paper proposes a novel dynamic bandwidth allocation algorithm which supports the mechanism with correction-based the multiple services estimation. To improve the real-time performance of the bandwidth allocation, this algorithm forecasts the traffic of high priority services, and then preallocate bandwidth for various priority services is corrected according to Gaussian distribution characteristics, which will make traffic prediction closer to the real traffic. The simulation results show that proposed algorithm is better than the existing DBA algorithm. Not only can it meet the delay requirement of high priority services, but also control the delay abnormity of low priority services. In addition, with rectification scheme, it obviously improves the bandwidth utilization. Index Terms—EPON; Dynamic bandwidth allocation; The multiple traffic prediction; Prediction error;
OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Abstract—According to the upstream TDM in the system of Ethernet passive optical network (EPON), this paper proposes a novel dynamic bandwidth allocation algorithm which supports the mechanism with correction-based the multiple services estimation. To improve the real-time performance of the bandwidth allocation, this algorithm forecasts the traffic of high priority services, and then preallocate bandwidth for various priority services is corrected according to Gaussian distribution characteristics, which will make traffic prediction closer to the real traffic. The simulation results show that proposed algorithm is better than the existing DBA algorithm. Not only can it meet the delay requirement of high priority services, but also control the delay abnormity of low priority services. In addition, with rectification scheme, it obviously improves the bandwidth utilization. Index Terms—EPON; Dynamic bandwidth allocation; The multiple traffic prediction; Prediction error;
Key concepts: Computer science, Dynamic bandwidth allocation, Algorithm, Bandwidth (computing), Bandwidth allocation, Real-time computing, Computer network