移动云网络中高效异构资源协同机理研究

The management and coordination among heterogeneous networks, applications, and user demands is highly needed due to explosively growing data traffic, which is also a very popular research field in mobile cloud networks. At present, many researchers and institutions generally consider that software-defined networking and network function virtualization technologies will be employed in mobile cloud networks. These technologies are supposed to lay the foundation for the interconnection of heterogeneous networks within mobile cloud networks. However, how to improve utilization efficiency for heterogeneous resources of mobile cloud networks is still lack of research and solutions. In this proposal, the highly efficient coordination mechanism for heterogeneous resources is researched and a newly heterogeneous resource coordination model is firstly put forward. Based on the methods of unified virtualization mapping, the computing resource and storage resource are jointly virtualized, deeply analyzed and coordinately allocated with wireless spectrum, wire bandwidth and data exchange resource. Based on this, for multimedia streaming flows, distributed content caching and efficient content forwarding schemes are further studied and the corresponding mechanisms are proposed. We will provide a theoretical basis for the highly efficient utilization of heterogeneous resources in mobile cloud networks, which can further satisfy the communication demands for diversified data traffic and service application.

如何充分挖掘网络通信能力并高效利用网络资源，应对日益增长的数据流量和多样化业务需求，是移动云网络的热点研究领域之一。目前，学术界普遍认为可以在移动云网络中引入软件定义网络及网络功能虚拟化等技术，为支持异构网络的互联互通以及协同工作奠定基础。然而，如何在移动云网络中提高异构资源的利用效率尚缺乏系统研究和解决思路。因此，本课题拟研究适用于移动云网络的高效异构资源协同机理，创建新型的异构资源协同模型，基于统一虚拟化映射，将计算资源、存储资源与传统无线频谱、有线带宽、数据交换等异构资源进行虚拟化处理、深度挖掘提取以及协同分配。在此基础上，针对流媒体业务的分布式内容存储和高效业务内容转发两个基本问题展开进一步研究，并提出解决方法和实现机制。本课题的研究成果将为如何高效利用移动云网络中的异构资源提供理论依据，从而更好的满足数据流量和业务应用的多样化通信需求。

随着数据流量的爆炸式增长和多样化业务接入需求的急剧增加，如何充分挖掘网络通信能力并提高系统异构资源的利用效率是亟待解决的问题。本课题的研究重点是：针对上述问题，首先，将软件定义网络、网络功能虚拟化和全双工技术引入移动云网络系统，研究移动云网络中高效异构资源协同模型。然后，结合移动云网络中高效异构资源协同模型的特征，研究内容缓存、内容转发以及计算卸载与资源分配的数学建模与理论分析，并在此理论基础上设计新型的内容分布式混合缓存、高效业务内容转发以及计算卸载与异构资源协同优化算法，实现网络异构资源的高效协同。最后，对提出的新型算法进行验证，获得良好的仿真结果。研究成果表明，在移动云网络中高效异构资源协同模型下，所提方案实现了内容的高效缓存和转发以及异构资源的灵活管理，为新型移动云网络场景下高效异构资源协同提供可能的解决方案。

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