軟件定義光網(wǎng)絡(luò)中基于最小點(diǎn)覆蓋的控制平面跨層生存性設(shè)計(jì)
doi: 10.11999/JEIT150815
基金項(xiàng)目:
國(guó)家自然科學(xué)基金(61401052)，重慶市教委科學(xué)技術(shù)研究項(xiàng)目(KJ1400418, KJ1500445)，重慶郵電大學(xué)博士啟動(dòng)基金(A2015-09)
The Cross-layer Survivable Design of Control Plane Based on Minimum Point Covering in Software Defined Optical Network
Funds:
The National Natural Science Foundation of China (61401052), The Science and Technology Project of Chongqing Municipal Education Commission (KJ1400418, KJ1500445), The Ph. D. Start-up Fund of Chongqing University of Posts and Telecommunications (A2015-09)
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摘要: 為降低軟件定義光網(wǎng)絡(luò)對(duì)單控制器的依賴，并避免多控制器沖突，有效提升控制平面的生存性，該文提出基于最小點(diǎn)覆蓋的控制平面生存性設(shè)計(jì)策略。該策略結(jié)合集中控制約束條件，以最小點(diǎn)覆蓋理論為基礎(chǔ)，建立可靠的分級(jí)管控模型，設(shè)定控制器的管控優(yōu)先級(jí)：全局控制器具有最高管控優(yōu)先級(jí)，對(duì)全網(wǎng)進(jìn)行集中管控；本地控制器次之，只對(duì)本地業(yè)務(wù)進(jìn)行集中管控；權(quán)威交換機(jī)的管控優(yōu)先級(jí)最低，用于完成局部波長(zhǎng)粒度的光層快速管控。在此基礎(chǔ)上，基于跨層信息模型為控制信道路由和資源分配進(jìn)行生存性冗余設(shè)計(jì)。仿真表明，該策略能夠滿足網(wǎng)絡(luò)對(duì)控制時(shí)延的要求，使控制平面的故障概率降低了30%，有效提升了網(wǎng)絡(luò)在惡劣環(huán)境下的生存性。
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關(guān)鍵詞:
- 軟件定義光網(wǎng)絡(luò) /
- 生存性 /
- 控制平面 /
- 分級(jí)管控 /
- 最小點(diǎn)覆蓋
Abstract: In order to lower the reliance on single controller in Software Defined Optical Network (SDON), avoid the conflict of different controllers, and improve effectively the survivability on the control plane, the survivable design of SDON control plane based on minimum point covering is proposed. Combined with the constraint of centralized control, the algorithm based on the minimum point covering establishes reliable hierarchical control model, and sets control priority to controllers. The master controller with the highest priority centralized controls the whole net, and the next comes the regional controller, which only intensively controls regional traffic, besides the authority switch which is introduced to control local wavelength in the optical layer owns the lowest level. Meanwhile, the model based on cross-layer information designs survivability redundancy for routing and allocates resource for the control channel. Simulation results show that the proposed strategy can satisfy the request on control delays, and lower the failure probability in the control plane by 30%, thus promoting the network survivability under critical environment. -
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