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中文摘要：
随着多种多样新型网络应用的涌现,传统的路由配置模式越来越难以适应用户多样化的数据通信需求.因此,需要依据用户对不同类型应用差异化的通信需求,在数据分组的传输路径上配置合适的路由功能,自适应地合成满足分组传输特性的路由服务,改善用户体验.根据由大数据带来的数据间关联关系新范式,文中试图从大量的应用通信流状态数据中,分析和获取用户体验与路由服务各属性之间的依赖关系,促进高效地实现路由服务的定制化.鉴于此,文中提出了大数据驱动的自适应路由服务定制机制（Big data driven Adaptive Routing service Customization scheme,BARC）,以网内大量流状态数据为驱动,建立了用户需求属性模型,挖掘用户体验对路由需求的依赖关系,获得候选路由功能集合;考虑商业化运营模式下用户和网络服务提供商之间的利益关系,提出了双方利益共赢的博弈策略,获得符合双方利益的最佳路由服务定制化方案.仿真实现和性能评价表明,文中提出的大数据驱动的自适应路由服务定制机制是可行和有效的.
英文摘要：
With various kinds of new network applications emerged, it is more and more difficult to satisfy their diversified data communication requirements by using the traditional routing configuration model. It is necessary to provision appropriate routing functions on the communication paths based on the users＇ specific communication demands on different types of applications, and compose routing services adaptively to satisfy their packet transmission characteristics with user experience improved. Inspired by the new paradigm of data correlation brought by the big data, in this paper the dependencies between user experience and routing service properties are analyzed and exploited to help customize routing services efficiently, and a Big data driven Adaptive Routing service Customization scheme （BARC） is proposed. Driven by the big data about the status of in-network flows, a user requirement attribute model is created, the dependencies between user experience and routing requirements are exploited, and then the candidate routing function set is obtained. Considering the benefit-based relationships between users and Internet Service Providers （ISPs） under the commercialized network operation, the win-win gaming strategies are proposed to obtain the routing service customization schemes with mutual interests optimized. Simulation results and performance evaluation show that the proposed BARC is feasible and effective.
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