基于SLA波长业务的ASON风险规避算法
投稿时间:2020-07-09  修订日期:2020-08-10  点此下载全文
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林民山* 泉州职业技术大学 362000
中文摘要:部署了大数据和云计算技术的智能光网络(ASON)一旦遭遇自然灾害损毁,将使网中各个业务等级(SLA)的波长业务面临失效的风险。为使受灾的各等级SLA波长业务重获局向资源,研究了一种基于SLA波长业务的ASON风险规避算法。算法通过给ASON构建动态损毁的数学模型,为不同SLA等级波长业务的连接分别设定稳定度阈值条件,借鉴启发式算法计算思想为受灾的各等级SLA波长业务分别制定自愈策略。同时,结合SLA波长业务在受灾前后对通路带宽资源需求的变化,分别建立带宽(重)配置优化模型为波长业务实施基于带宽可调的通路资源优化配置。经多个指标评估表明,相对于灾后自适应自愈机制(DASH),风险规避算法在受理受灾的各等级SLA波长业务连接请求时具有更佳的表现。
中文关键词:智能光网络  业务等级  阈值  局向  带宽资源
 
ASON Risk Aversion Algorithm Based on SLA Wavelength Service
Abstract:Once the intelligent optical network (ASON), which is deployed with big data and cloud computing technology, is damaged by natural disasters, the wavelength service of each service level (SLA) in the network will be at risk of failure. In order to restore the local resources of the affected SLA wavelength services, a ASON risk aversion algorithm based on SLA wavelength services is studied. By constructing the mathematical model of dynamic damage for ASON, the algorithm sets the stability threshold conditions for the connection of different SLA grade wavelength services, and formulates the self-healing strategy for the affected SLA wavelength services by using the heuristic algorithm for reference. At the same time, combined with the change of SLA wavelength service demand for channel bandwidth resources before and after the disaster, the bandwidth (heavy) configuration optimization model is established to optimize the allocation of path resources based on adjustable bandwidth for wavelength services. The evaluation of several indexes shows that the (DASH), risk aversion algorithm has better performance in accepting the affected SLA wavelength service connection requests than the post-disaster adaptive self-healing mechanism SLA risk aversion algorithm.
keywords:ASON  Sevice Level Agreement  Threshold  Routing  Bandwidth Resources
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