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基于重叠网络结构的服务功能链时空优化编排策略

谷允捷 胡宇翔 谢记超

谷允捷, 胡宇翔, 谢记超. 基于重叠网络结构的服务功能链时空优化编排策略[J]. 电子与信息学报, 2019, 41(11): 2675-2683. doi: 10.11999/JEIT190145
引用本文: 谷允捷, 胡宇翔, 谢记超. 基于重叠网络结构的服务功能链时空优化编排策略[J]. 电子与信息学报, 2019, 41(11): 2675-2683. doi: 10.11999/JEIT190145
Yunjie GU, Yuxiang HU, Jichao XIE. A Spatial and Temporal Optimal Method of Service Function Chain Orchestration Based on Overlay Network Structure[J]. Journal of Electronics & Information Technology, 2019, 41(11): 2675-2683. doi: 10.11999/JEIT190145
Citation: Yunjie GU, Yuxiang HU, Jichao XIE. A Spatial and Temporal Optimal Method of Service Function Chain Orchestration Based on Overlay Network Structure[J]. Journal of Electronics & Information Technology, 2019, 41(11): 2675-2683. doi: 10.11999/JEIT190145

基于重叠网络结构的服务功能链时空优化编排策略

doi: 10.11999/JEIT190145
基金项目: 国家重点研发计划(2017YFB0803204),国家自然科学基金(61521003, 61872382),广东省重点领域研发计划(2018B010113001)
详细信息
    作者简介:

    谷允捷:男,1994年生,博士生,研究方向为新型网络体系结构,网络功能虚拟化

    胡宇翔:男,1982年生,副研究员,研究方向为新型网络体系结构,软件定义网络

    谢记超:男,1995年生,硕士生,研究方向为网络安全、网络功能虚拟化与云安全

    通讯作者:

    谷允捷 lizardwhite@163.com

  • 中图分类号: TP393

A Spatial and Temporal Optimal Method of Service Function Chain Orchestration Based on Overlay Network Structure

Funds: The National Key Research and Development Project(2017YFB0803204), The National Natural Science Foundation of China (61521003, 61872382), The Research and Development Program in Key Areas of Guangdong Province (2018B010113001)
  • 摘要: 网络功能虚拟化(NFV)的引入大幅降低了互联网业务的运营成本。针对现有的服务功能链(SFC)编排方法无法在优化底层资源的同时保证业务时延性能的问题,该文提出一种基于重叠网络结构的SFC时空优化编排策略。在将计算、网络资源与细粒度时延约束纳入考虑的基础上,该策略通过建立重叠网络模型实现了计算与网络资源的分离,将构建SFC所需的资源开销与相关时延共同抽象化为重叠网络链路权重,从而使SFC编排问题转化为易于求解的最短路径问题。对于需要批量处理的SFC集合设计了基于重叠网络的模拟退火迭代优化编排算法(ONSA)。通过对比实验证明了该策略下编排方案的平均端到端时延、链路资源占用率与运营开销相对其他方案分别降低29.5%, 12.4%与15.2%,请求接受率提高22.3%,虚拟网络功能(VNF)负载均衡性能得到显著提升。
  • 图  1  SFC请求及两种编排方案

    图  2  SFC请求及其对应重叠网络

    图  3  已部署的VNF在底层网络分布情况

    图  4  服务请求处理时间

    图  5  请求接受率

    图  6  VNF负载强度分布变化

    图  7  链路资源利用率

    图  8  NFV系统运营开销

    图  9  请求接受率

    表  1  基于重叠网络的模拟退火迭代优化编排策略

     输入: $G = (V,E)$, $I$,底层网络状态
         SA参数$\{ {\tau _0},{\tau _{\min }},\rho ,L\} $
     输出: 集合$I$的时空优化编排方案${\rm{O}}{{\rm{S}}_{{\rm{opt}}}}$
     (1) $\forall i \in I$,随机部署$\beta _i^k$生成${\rm{O}}{{\rm{S}}_{{\rm{init}}}}$
     (2) 初始化参数,$\tau \leftarrow {\tau _0},{\rm{Objec}}{{\rm{t}}_{{\rm{now}}}} \leftarrow {\rm{Object}}({\rm{O}}{{\rm{S}}_{{\rm{init}}}})$
     (3) while $\tau > {\tau _{\min }}$ do
     (4)  for $l = 1:L$ do
     (5)    if (rand<0.5)
     (6)     计算$\bar C_{{\rm{load}}}^{}$与${p_{{\rm{rem}}}}$并选择释放实例$m$
     (7)     将经$m$处理的请求纳入${I_{{\rm{re}}}}$并释放$m$
     (8)   else
     (9)    $\forall i \in I$,将${\delta _i} > \delta _i^{s,o}$的请求纳入${I_{{\rm{re}}}}$
     (10)   end for
     (11)  for $i\;{\rm in}\;{I_{{\rm{re}}}}$ do
     (12)    依据$\beta _i^k$与底层网络状态构造${G_{{\rm{Overlay}}}}$
     (13)  删除资源不足的节点与链路
     (14)  计算链路权重$w_{{\rm{ver}}}^e$,$w_{{\rm{hor}}}^e$
     (15)  ${\rm{Path}}_{{\rm{Overlay}}}^i \leftarrow {\rm{Dijkstra}}(v_{{\rm{hor}}}^{1,{s_i}},v_{{\rm{hor}}}^{k + 1,{o_i}})$
     (16)  ${\rm{Pat}}{{\rm{h}}_i} \leftarrow {\rm{Path}}_{{\rm{Overlay}}}^i$
     (17)  end for
     (18)  ${\rm{Object}}({\rm{O}}{{\rm{S}}_{{\rm{new}}}}) = \sum\nolimits_{i \in I} {[\varepsilon {\varphi _i} + (1 + \varepsilon ){\delta _i}]} $
     (19)  if ${\Delta _{{\rm{Obj}}}} < 0$
     (20)    ${\rm{O}}{{\rm{S}}_{{\rm{now}}}} \leftarrow {\rm{O}}{{\rm{S}}_{{\rm{new}}}}$
     (21)  else
     (22)    ${P_{{\rm{acc}}}} = \exp ( - {\Delta _{{\rm{Obj}}}}/T)$
     (23)  $\tau \leftarrow \tau \rho $
     (24)  end while
     (25) ${\rm{O}}{{\rm{S}}_{{\rm{opt}}}} \leftarrow {\rm{O}}{{\rm{S}}_{{\rm{now}}}}$
    下载: 导出CSV

    表  2  VNF参数

    VNF实例化开销(MIPS)计算资源(MIPS)Packet处理时间(μs)
    Firewall56015
    Encryption56015
    IDS84020
    NAT46015
    下载: 导出CSV
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出版历程
  • 收稿日期:  2019-03-13
  • 修回日期:  2019-06-18
  • 网络出版日期:  2019-06-25
  • 刊出日期:  2019-11-01

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