WOBAN中基于令牌桶算法的自適應(yīng)流量整形策略
doi: 10.11999/JEIT160974
國家自然科學(xué)基金(61371097, 61401052, 61271261),重慶市教委科學(xué)技術(shù)研究項目(KJ1400418),重慶市青年科技人才培養(yǎng)計劃(CSTC2014KJRC-QNRC40001),重慶市高等學(xué)校青年骨干教師資助計劃(渝教人[2014]47號),重慶高校創(chuàng)新團(tuán)隊建設(shè)計劃(CXTDX201601020)
Adaptive Traffic Shaping Policy Based on Token Bucket Algorithm of Wireless-optical Broadband Access Network
The National Natural Science Foundation of China (61371097, 61401052, 61271261), Science and Technology Research Project of Chongqing Municipal Education Commission (KJ1400418), Youth Talents Training Project of Chongqing Science Technology Commission (CSTC2014KJRC-QNRC 40001), Chongqing Funded Project of College Young Teachers Scheme (Yu teaches [2014] No. 47) , Program for Innovation Team Building at Institutions of Higher Education in Chongqing (CXTDX201601020)
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摘要: 光無線融合網(wǎng)絡(luò)中光域和無線域存在速率不匹配以及業(yè)務(wù)分類不同的問題。為提高融合網(wǎng)絡(luò)的QoS及充分利用網(wǎng)絡(luò)資源,該文提出一種基于令牌桶算法的流量整形策略。根據(jù)EPON與WiMAX業(yè)務(wù)的QoS映射以及調(diào)度策略,以業(yè)務(wù)在整個網(wǎng)絡(luò)中的相對優(yōu)先級來決定令牌桶參數(shù)的選擇,并結(jié)合更符合實際的自相似網(wǎng)絡(luò)流量推導(dǎo)出最佳令牌桶參數(shù)計算公式,并在此基礎(chǔ)上,提出基于優(yōu)先級的共享緩存策略,進(jìn)而,得到通過QoS指標(biāo)的變化而自適應(yīng)動態(tài)調(diào)整的流量整形策略。仿真結(jié)果表明,所提流量整形策略能夠有效降低網(wǎng)絡(luò)設(shè)備壓力,同時提高整個融合網(wǎng)絡(luò)的QoS。
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關(guān)鍵詞:
- 光無線寬帶接入網(wǎng) /
- 流量整形 /
- 令牌桶算法 /
- 服務(wù)質(zhì)量
Abstract: There are mismatches of transmission rates and different service classifications between optical domain and wireless domain in Wireless-Optical Broadband Access Network (WOBAN). To improve the QoS of the integration network and make full use of network resources, a new algorithm based on token bucket traffic shaping policy is proposed. According to the service mapping rules and scheduling of EPON and WiMAX, the selection of token bucket parameters B determined based on the relative service priority of the entire network. This paper also combines with more realistic self-similar network traffic to derive the best formula for token bucket parameters and then proposes a shared buffer strategy on the basis of the service priority. Furthermore, an adaptively dynamically adjust traffic shaping policy is obtained through the change of QoS metrics. The simulation results show that the proposed strategy can effectively reduce traffic shaping network equipment pressure while improving the QoS of whole converged networks. -
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