700 ITU‐T's Technical Reports and Specifications express the information as application programmable interface (API) for application programmers as a programming standard. As associated with these information, the information of management status is indispensable, such as duplication or backup layer of the data, storage of the data (datacenter or local server), latency and throughput to get the information, regulations in user, group, throughput, date or time, amount of fetching, count of accessing, ID or address in network and application layer, and accounting. Moreover, if API, security software/application, and other middlewares such as database, machine learning is used, the name and version of this software are required. This management can be the basement of privacy preserving. If the data management is not well organized, the following problems and risks will appear. Falsifying data or illegal overwriting/deletion/wiping of data If appropriate security is not given, falsifying attacks damage data by illegal overwriting, deletion, and wiping. Slow or imperfect recovery from attacks Data provider should provide the information on its data protection and security level before making it available. In some cases, they will provide additional backups or options of security to meet their requirements. If it is not considered, slow recovery or imperfect data recovery may occur more serious than they expected. Privacy invading Those who provide privacy data require a clear expression of the data, such as management status, number or type of applications, and number or type of users or the providing data. Increasing the cost of data guarantee services and insurance services Data guarantee services and insurance services providers require to know the status of data management of smart sustainable city. If the status is not clear or missing, the cost of providing services will be increased. From the application viewpoints, these problems and risks may bring serious compromises by paralyzing infrastructures in smart sustainable city. As described above, the infrastructure of SSC has to give a way to express the status of data management, the format of data contents, management information, authorization, and certification. On that basis, the way to distribute data and to keep consistency of distributed data is required as a part of data infrastructure of SSC. According to the data distribution, hierarchical multi‐grain network architecture for smart community is proposed by IEEE Standards Association22. Every service on a smart sustainable city should select the layer of the hierarchical network where a service is provided and processed. The consistency of the data is also managed by a distributed database in a hierarchical network architecture. This means discussion of locality and latency is the key to data consistency in the SSC. CAP theorem in theoretical computer science states consistency, availability, and partition tolerance cannot be guaranteed simultaneously, and one of them has to be omitted in designing systems. A model, which guarantees consistency and availability, supports hard real‐time services with data consistency. In applications of SSC, the model is applicable to traffic signal control and power grid management of power stabilization service in a local area. However, single point of failure lurks in a system using the model because it does not guarantee partition‐tolerance. A model, which guarantees availability and partition‐tolerance, supports wide‐area low‐latency services such as naming rule service, sensor node management, and location services. In this model, consistency process becomes slower ____________________ 22 Hiroaki Nishi, Koichi Inoue, et al.; IEEE SMART GIRD VISION FOR VEHICULAR TECHNOLOGY: 2030 AND BEYOND; IEEE Standards Association, pp. 41‐42, Jan., 2014.