Optical backbone networks are required to be highly dynamic in supporting requests with flexible bandwidth granularities to cope with the demands of new broadband wireless and fixed access networks. To provide this flexibility, services are offered by taking requested bandwidth profile into consideration, instead of assigning a fixed amount of bandwidth to each request. New techniques are developed for the resource management of the elastic optical networks to realize services with a specified bandwidth profile, consisting of minimum, average, and maximum required number of spectrum slots, in addition to holding time. In this work, two new schemes are proposed to realize such services, exploiting a probabilistic spectrum partitioning approach. This new probabilistic spectrum partitioning scheme is devised to enhance the chance of accommodating requests and consequently lower request blocking probability. It enforces different probabilities to contributing spectrum partitions in a certain service realization. Taking advantage of this probabilistic spectrum partitioning and a profile-based routing, we introduce two multistage spectrum assignment methods to make a certain lightpath meet the requested service profile constraints, considering the time-weighted average of the assigned spectrum slots. The results indicate that our algorithms can successfully realize the requests with the probability of 0.993 for the offered loads less than 400 erlang.

翻译：光骨干网络需具备高度动态性以支持灵活带宽粒度的请求，从而满足新型宽带无线与固定接入网络的需求。为实现这种灵活性，服务提供需考虑请求的带宽配置而非为每个请求分配固定带宽量。针对弹性光网络的资源管理，本文开发了新技术以实现具有指定带宽配置（包括最小、平均、最大所需频谱时隙数及保持时间）的服务。我们提出了两种利用概率频谱分割方法的新型服务实现方案。这种概率频谱分割方案通过为特定服务实现中的不同频谱分区赋予不同概率，增强请求接纳机会，从而降低请求阻塞概率。基于概率频谱分割与基于配置的路由，我们引入两种多阶段频谱分配方法，在考虑分配频谱时隙的时间加权平均值条件下，使特定光路满足请求的服务配置约束。结果表明，在负载低于400爱尔兰时，所提算法能以0.993的概率成功实现请求。