Cloud computing is currently becoming a popular topic in recent years. The innovative application of cloud computing emerges endlessly. In this paper, the cloud computing platform is architected by virtualization tool Proxmox VE and the open source search engine Elasticsearch under the concept of virtualization. Based on this platform, we explore the feasibility and advancement for storing and searching spatio-temporal data. The time period index is imported as spatio-temporal data records both time and location. In this paper, the experiment is conducted using AIS data, which contains vessel motion characteristics. The result shows that the combination between virtualization and Elasticsearch can effectively store and index the spatio-temporal data with high reliability and efficiency. This paper is an innovation in the application of cloud virtualization. The method can widely and strongly support further research based on mass spatio-temporal data.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.