RESEARCH AND PRACTICE ON SPATIO-TEMPORAL BIG DATA CLOUD PLATFORM OF THE BELT AND ROAD INITIATIVE release_oemk6oy2u5hwhnh6nngz55d6we

by Z. T. Ma, C. M. Li, Z. Wu, P. D. Wu

Published in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences by Copernicus GmbH.

2018   Volume XLII-4, p389-396

Abstract

<strong>Abstract.</strong> 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.
In application/xml+jats format

Archived Files and Locations

application/pdf  1.1 MB
file_flvkdz4uyrhclpwq77hecrcesa
web.archive.org (webarchive)
www.int-arch-photogramm-remote-sens-spatial-inf-sci.net (web)
Read Archived PDF
Preserved and Accessible
Type  article-journal
Stage   published
Date   2018-09-19
Language   en ?
Container Metadata
Open Access Publication
In DOAJ
In ISSN ROAD
In Keepers Registry
ISSN-L:  1682-1750
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: 80ba94f5-2772-4ecf-85a0-fef4da438566
API URL: JSON