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彈性光網(wǎng)絡(luò)基于區(qū)分降級服務(wù)和自適應(yīng)調(diào)制的動態(tài)路由與頻譜分配算法

于存謙 張黎 何榮希

于存謙, 張黎, 何榮希. 彈性光網(wǎng)絡(luò)基于區(qū)分降級服務(wù)和自適應(yīng)調(diào)制的動態(tài)路由與頻譜分配算法[J]. 電子與信息學(xué)報, 2019, 41(1): 38-45. doi: 10.11999/JEIT180075
引用本文: 于存謙, 張黎, 何榮希. 彈性光網(wǎng)絡(luò)基于區(qū)分降級服務(wù)和自適應(yīng)調(diào)制的動態(tài)路由與頻譜分配算法[J]. 電子與信息學(xué)報, 2019, 41(1): 38-45. doi: 10.11999/JEIT180075
Cunqian YU, Li ZHANG, Rongxi HE. Dynamic Routing and Spectrum Assignment Algorithm Based on Differentiated Degraded-service and Adaptive Modulation in Elastic Optical Networks[J]. Journal of Electronics & Information Technology, 2019, 41(1): 38-45. doi: 10.11999/JEIT180075
Citation: Cunqian YU, Li ZHANG, Rongxi HE. Dynamic Routing and Spectrum Assignment Algorithm Based on Differentiated Degraded-service and Adaptive Modulation in Elastic Optical Networks[J]. Journal of Electronics & Information Technology, 2019, 41(1): 38-45. doi: 10.11999/JEIT180075

彈性光網(wǎng)絡(luò)基于區(qū)分降級服務(wù)和自適應(yīng)調(diào)制的動態(tài)路由與頻譜分配算法

doi: 10.11999/JEIT180075 cstr: 32379.14.JEIT180075
基金項目: 國家自然科學(xué)基金(61371091, 61801074)、中央高?;究蒲袠I(yè)務(wù)費(3132016318, 3132017078)
詳細(xì)信息
    作者簡介:

    于存謙:男,1983年生,博士,講師,研究方向為光數(shù)據(jù)中心網(wǎng)絡(luò)

    張黎:女,1992年生,碩士生,研究方向為彈性光網(wǎng)絡(luò)

    何榮希:男,1971年生,博士,教授,研究方向為光網(wǎng)絡(luò)和無線網(wǎng)絡(luò)技術(shù)

    通訊作者:

    何榮希 hrx@dlmu.edu.cn

  • 1) 對已建業(yè)務(wù)連接進行DS會降低其QoE,運營商以較低的租賃費用換得用戶的忠誠度,故被降級業(yè)務(wù)的單位利潤率會有所降低。
  • 中圖分類號: TN929.11

Dynamic Routing and Spectrum Assignment Algorithm Based on Differentiated Degraded-service and Adaptive Modulation in Elastic Optical Networks

Funds: The National Natural Science Foundation of China (61371091, 61801074), The Fundamental Research Funds for Central Universities (3132016318, 3132017078)
  • 摘要:

    面對高速發(fā)展的互聯(lián)網(wǎng)應(yīng)用,傳統(tǒng)的路由與頻譜分配(RSA)問題迎來新的挑戰(zhàn)。融合降級服務(wù)(DS)技術(shù)的彈性光網(wǎng)絡(luò)無疑為降低業(yè)務(wù)阻塞率,提高用戶體驗質(zhì)量(QoE)提供了新方向。該文首先針對頻譜資源的低效利用和DS導(dǎo)致的業(yè)務(wù)收益下降問題,建立以最小化頻譜消耗和最小化DS等級、頻次為聯(lián)合優(yōu)化目標(biāo)的RSA問題的混合整數(shù)線性規(guī)劃模型。隨后,提出一種基于區(qū)分DS和自適應(yīng)調(diào)制的動態(tài)RSA算法。該算法考慮業(yè)務(wù)等級的差異化,并整合自適應(yīng)調(diào)制和DS技術(shù)。同時,設(shè)計區(qū)分業(yè)務(wù)等級的DS損失函數(shù)及DS窗口選擇策略,為即將受阻業(yè)務(wù)分配理想的頻譜位置和資源。此外,設(shè)計考慮頻譜與收益均衡關(guān)系的網(wǎng)絡(luò)收益函數(shù),達(dá)到頻譜資源高效利用,減少降級影響,提升網(wǎng)絡(luò)收益的目的。最后,仿真驗證了所提算法在業(yè)務(wù)阻塞率和網(wǎng)絡(luò)收益等方面的優(yōu)勢。

  • 圖  1  DRSA-DDAM算法示例

    圖  2  NSFNET網(wǎng)絡(luò)

    圖  3  4種算法的業(yè)務(wù)阻塞率

    圖  4  4種算法的網(wǎng)絡(luò)收益

    圖  5  DRSA-DDAM, QADS及LP-RSA的降級服務(wù)成功率

    圖  6  DRSA-DDAM與QADS的降級業(yè)務(wù)等級占比

    表  1  DRSA-DDAM算法偽代碼

     算法 DRSA-DDAM
     輸入: $\psi $, $G(N, E, C)$.
     輸出: blocking rate, average slot/demand, net profit.
     (1) for $\psi \ne \varnothing $ do
     (2)  $r \leftarrow \psi $. top(), block_num$ \leftarrow $0, slot_num$ \leftarrow $0,
    success_num$ \leftarrow $0;
     (3)  $G \leftarrow G$ updated according to ${\left[ {U_k^r} \right]_{H \times \left| C \right|}}$ in Eq. 14;
     (4)  ${P_K} = \{ {p_k}\} \leftarrow K - {\rm{Shortest}}(G, r)$ and Eq. 13;
     (5)  if ${P_K} \!\ne\! \varnothing $ then ${\left[ {S_k^r} \right]_{1 \times \left| C \right|}} \leftarrow \{ {\left[ {U_k^r} \right]_{H \times \left| C \right|}}$ according to Eq. 15};
     (6)   for $\forall {p_k} \in {P_K}$ do search $B_{b, e}^k$ in ${p_k}$; $\varTheta .{\rm{push}}(B_{b, e}^k)$;
     (7)   end for
     (8)  end if
     (9)  if $\varTheta \ne \varnothing $ then
     (10)   for $\forall B_{b, e}^k \!\in\! \varTheta $ do $v_{b, e}^k \leftarrow $Eq. 17($B_{b, e}^k$), $\tau _{b, e}^k \leftarrow $Eq. 18($v_{b, e}^k$);
     (11)   end for
     (12) else if $\varTheta = \varnothing $ then block $r$, block_num++; $\psi .$ pop();
    break;
     (13) end if
     (14)  $\varTheta \leftarrow \big\{ \varTheta , {\rm{descending\; order}}, \big({M_k}, \tau _{b, e}^k\big)\big\} $;
     (15)  if $\varTheta .{\rm{top}}().\tau _{b, e}^k \le 0$ then
     (16)   Serve-win$ \leftarrow $position[$\varTheta $. top()]; allocate resource to r;
     (17)   slot_num+= r. allocate(slot), success_num++;
     (18)   net profit+= r. profit; $\psi .$ pop(), break;
     (19)  else if $\varTheta .{\rm{top}}().\tau _{b, e}^k > 0$ then
     (20)   for $\forall B_{b, e}^k \in \varTheta $ do
     (21)    compare ${o_{r'}}$ for $r'$ in $\Big[b \!-\! \tau _{b, e}^k, b\Big) \!\cup\! \Big(e, e \!+\! \tau _{b, e}^k\Big]$ with ${o_r}$;
     (22)    if each ${o_{r'}} \ge {o_r}$ then remove $B_{b, e}^k$ from $\varTheta $; continue;
     (23)    else then calculate $\tau _{b, e}^{l, h}$ and $\tau _{b, e}^{r, h}$ of each h$ \in \{ {p_k}\} $;
     (24)    end if
     (25)    $\tau _{b, e}^l \leftarrow $Eq. 20 and $\tau _{b, e}^r \leftarrow $Eq. 21; $\gamma \leftarrow $Eq. 22$\left(\tau _{b, e}^l\right.$, $\left.\tau _{b, e}^r\right)$;
     (26)   end for
     (27)   if $\gamma \ne \varnothing $ then
     (28)    for $\forall B_{b, e}^k \in \gamma $ do $w_ {\rm{sum}}^{B_{b, e}^k} \leftarrow ${Eq. 23 and Eq. 24};
     (29)    end for
     (30)    ${w_{\min }} \leftarrow $Eq. 25($\gamma $); DS-win$ \leftarrow $place\Big[$B_{b, e}^k({w_{\min }})\Big]$;
     (31)    DS($r'$) for r; allocate resource for $r$;
    net profit+=$r$. profit;
     (32)    slot_num+= $r$. allocate(slot), success_num++;
     (33)     else then block $r$, block_num++; break;
     (34)     end if
     (35)   end if
     (36)  end for
     (37) return blocking rate$ \leftarrow $block_num/$\left| \psi \right|$, net profit and
    average slot/demand$ \leftarrow $slot_num/success_num;
    下載: 導(dǎo)出CSV

    表  2  調(diào)制模式與數(shù)據(jù)率和傳輸距離的關(guān)系

    調(diào)制模式BPSKQPSK8QAM16QAM
    調(diào)制等級24816
    Bit/符號1234
    頻譜槽帶寬(GHz)12.512.512.512.5
    數(shù)據(jù)率(Gbps)12.525.037.550.0
    傳輸距離(km)9600480024001200
    下載: 導(dǎo)出CSV
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出版歷程
  • 收稿日期:  2018-01-19
  • 修回日期:  2018-09-26
  • 網(wǎng)絡(luò)出版日期:  2018-10-22
  • 刊出日期:  2019-01-01

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