Scalable Distributed Cloud Data Storage Service for Internet of Things

In the era of Internet of Things (IoT), a number of things are efficiently interconnected in order to combine and integrate the physical world to the information space. One of the application domains of urban IoT is smart grid where smart buildings, smart homes, vehicles, electrical grids, power plants and other components are interconnected to provide the services in an efficient way. In the smart grid systems, the data of conditional monitoring are increasing rapidly. Facing with these massive, distributed, heterogeneous and complex state data, conventional data storage and management will encounter great difficulties. Conventional infrastructure uses centralized approach, expensive large-scale server, disk array storage hardware and relational database management system; which leads to poor system scalability, higher costs, and essentially, is difficult to adapt to the requirement of higher reliability on real-time state data of the smart grid applications. Accurate, fast, open, shared information system is the basis for the smart grid applications. In this paper, we proposed a scalable distributed cloud data storage and management platform which provides reliable data storage and management of the vast amount of information in IoT applications. We have evaluated and validated our approach by applying our cloud data storage and management platform in our cyber-physical test-bed, a facility which is intended to test innovative technologies for urban sustainability.