大数据不断地从复杂的应用系统中产生，并且将会以更多、更复杂、更多样化的方式持续增长。多样化的物联网传感设备不断地感知着海量的具有不同格式的数据。物联网系统中大数据的复杂化和格式多样化，决定了物联网系统中针对大数据的应用场景和服务类型的多样化，从而要求物联网大数据管理系统必须采用不同的新技术来应对具有不同格式的大数据，而现有的针对特定数据类型和业务的系统在架构上已经难以满足如此多样化的需求，因此，设计新的具有可扩展性的系统架构已经成为物联网大数据管理的研究热点。文章提出了一种物联网大数据管理的创新解决方案：面向物联网大数据管理的海云协同模型。首先讨论海云协同模型的整体架构和协同机制，然后分别讨论了海云协同模型中海端计算系统和云端计算系统的设计和实现方案，测试结果表明提出的解决方案性能良好、具有实践可行性。%Big data is generated from sophisticated applications and is going to continue growing over the future years in a much diverse, larger and faster manner. Particularly, massive data with different formats sensed by various sensors, devices were from independent or connected components of Internet of Things (IoT) applications decide the diversity of applications and service type in IoT systems, which requires new technologies to manage big data with various format and to meet the requirements of various IoT applications. For such diverse business requirements, traditional systems are dififcult to give a preferable solution due to their incapable system architectures. Consequently, to design new scalable system architectures is becoming a key research point for IoT big data management. This paper aims to provide a novel solution to manage big data of IoT systems, namely, the sea-cloud synergy model. Firstly, the designed architecture and the synergy mechanism of the model were discussed. Secondly, the design and implementation details of sea-side and cloud-side of the sea-cloud synergy model were presented respectively. Finally, a demonstration system was built . Experimental experimental results veriifes the preferable performance and feasibility of the designed sea-cloud synergy model.
展开▼
