Abstract
Abstract. Spatio-temporal big data cloud platform is an important spatial information infrastructure that can provide different period spatial information data services, various spatial analysis services and flexible API services. Activities of policy coordination, facilities connectivity and unimpeded trade on the Belt and Road Initiative (B&R) will create huge demands to the spatial information infrastructure. This paper focuses on researching a distributed spatio-temporal big data engine and an extendable cloud platform framework suits for the B&R and some key technologies to implement them. A distributed spatio-temporal big data engine based on Cassandra™ and an extendable 4-tier architecture cloud platform framework is put forward according to the spirit of parallel computing and cloud service. Four key technologies are discussed: 1) a storage and indexing method for distributed spatio-temporal big data, 2) an automatically collecting, processing, mapping and updating method of authoritative spatio-temporal data for web mapping service, 3) a schema of services aggregation based on nodes registering and services invoking based on view extension, 4) a distributed deployment and extension method of the cloud platform. We developed a distributed spatio-temporal big data centersoftware and founded the main node platform portal with MapWorld™ map services and some thematic information services inChina and built some local platform portals for those countries in the B&R area. The management and analysis services for spatio-temporal big data were built in flexible styles on this platform. Practices show that we provide a flexible and efficient solution tobuild the distributed spatio-temporal big data center and cloud platform, more node portals can be aggregated to the main portal bypublishing their own web services and registering them in the aggregation schema. The data center and platform can support thestorage and management of massive data well and has higher fault tolerance and better scalability.
Highlights
Spatio-temporal big data are those big data sets related directly or indirectly to the place or location (Kumar, et al 2015)
To implement the spatio-temporal big data cloud platform of a wild wide area, there are 4 key technologies includes: 1) a storage and indexing method for distributed spatiotemporal big data, 2) an automatically collecting, processing, mapping and updating method of authoritative spatio-temporal data for web mapping service, 3) a schema of services aggregation based on nodes registering and services invoking based on view extension, 4) a distributed deployment and extension method of the cloud platform
Lots of spatio-temporal data came from different countries will be involved in the spatio-temporal big data cloud platform of the Belt and Road Initiative
Summary
Spatio-temporal big data are those big data sets related directly or indirectly to the place or location (Kumar, et al 2015). Since different period spatial information services and various functional services are aggregated and published in it, it is called spatio-temporal big data service platform. Trying to push and evolve the spirit of the cloud computing approach, i.e., simplifying data services, functional services and knowledge services providing method like power or water usage by turning on a switch, spatio-temporal big data cloud platform is proposed on the construction of Smart City in China during the last couple of years (Ran, 2015). Spatiotemporal big data cloud platform in smart city is a significant project and some key technologies are researched.
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