After the Smart City initiative was put forward, cities all over the world started the pilot practice of developing Smart Cities. This triggered a series of thoughts: what is a Smart City, how do we determine the scope of work of a Smart City, and how do we formulate a new strategic agenda of the Smart City to make city smarter and more sustainable? The answer lies not only in finding Smart City solutions, but also leads to the research on the definition of Smart City terminology and the determination of corresponding tasks. Stakeholders of Smart City (e.g., policy makers, municipalities, solution providers, industry, and academia) develop technical and management standards for these tasks jointly. This paper reports the standardization planning on Smart City by the international standardization development organizations (SDOs), that is, the standardization framework of Smart City. It also presents one of the important aspects, namely, the progress of standardization activities on urban infrastructure that are being carried out by the International Telecommunication Union (ITU) via its Study Group 20, in supporting the adoption of information and communication technologies (ICTs) in Smart City. These standards include the classification of urban infrastructure, the interoperability between urban infrastructure and smart city platforms, and the requirements of detailed infrastructure from the perspective of ICT and the Internet of things (IoT). This paper also provides the use cases of application of some standards in global cities.

With the continuous development of mobile communication technology, edge computing technology has been gradually applied to some special business scenarios, such as disaster area rescue and forest fire warning. These application scenarios have certain requirements on the delay of task processing, and need enough network connection and computing resources. Due to the lack of ground network infrastructure, the traditional edge computing scheme can no longer fully meet the needs of users. However, the virtualized environment in cloud computing not only brings convenient services to users, but also faces security threats from different levels. The increasingly rich attack means and the widening of attack surface caused by virtualization have brought new challenges to the security protection of edge computing environment. How to build a secure and credible virtualization environment for cloud computing and alleviate users' concerns about cloud computing security has become an urgent problem to be solved in the further development of cloud computing technology. Based on the analysis of security risks and users' security requirements, this paper puts forward the combination of trusted computing and trust model in cloud computing, to build a safe and credible virtualization environment for users. Experimental results show that the proposed algorithm not only guarantees the validity of the trust model, but also reduces the resource overhead of edge devices in the process of trust evaluation.