无所不在的普适感知设备的急剧增长，其数据增长的速度远超当前数据传输网络所能承载的负载。迫切需要研究新的网络体系以避免当前网络被快速增长的数据所淹没。本项目拟结合软件自定义网络，云计算，雾计算平台为基础，构造基于数据编程服务网络(Orchestrating Data as Service Networking, ODSN)以满足快速增长大数据网络的需求。在拟构造的ODSN中，数据中心分发数据编程软件到分布式网络的各级设备中将数据进行编程构造成服务后再传输与调用，从而实现以基于服务编程与服务传输的服务网络。本项目拟首先研究数据编程服务网络体系结构，设计可扩展高效数据编程服务网络的组成部分。然后，研究ODSN的运行机制，包括服务路由，服务请求，服务返回等运行机制。设计编程软件及其扩散机制与方法。最后，实现基于数据编程的新型服务网络，为大数据网络的发展提供新的理论与体系结构。

With the rapid growth of universal ubiquitous sensing devices, and the rate data is growing today, current data transmission network can not afford such a large network load. Thus, an new network system is required to avoid flooding the current network due to the rapid growth of data. We argues that big data networking joint Software Define Network (SDN), together with cloud and Fog computing platform, can build a service networking. We propose a novel Orchestrating Data as Service Networking (ODSN) framework, which can dynamic orchestrate big data to services in SDN to meet the requirements of next generation networks. Based on the platform which combines software define network, cloud computing and fog computing together, this project constructs service network based on data programming to meet the requirement of big data networks. In the proposed ODSN, data center distributes data programming software to devices in distributed network, then data in devices can be structured as services. Thus, ODSN can realize the service network based on service programming and service call. First, the project is intended to study service network architecture of data programming, and design components of scalable and efficient service network of data programming. Second, the operation mechanism in ODSN will be studied , including service routing, service request and service return and so on, and designs programming software and dissemination mechanism. Finally, ODSN realizes a new service network based on data programming, which provides a new theory and architecture for the development of big data networks.