1.1 Overview
1.2 Challenges faced by GIS
1.3 Basic characteristics of cloud GIS technology
1.4 Service Mode and Deployment Method of Cloud GIS
1.5 Cloud GIS technology value
1.6 Summary of this chapter
>>1.1 Overview
In recent years, the Internet, mobile Internet and Internet of Things have developed rapidly. Ubiquitous mobile devices, radio frequency identification devices, wireless sensors, etc. are generating data every minute and every second, and drones, satellites, unmanned vehicles, etc. are recording every day Landing on the surface data, geographic time-space data has soared. GIS is facing data-intensive, time-space-intensive, and computationally intensive.
The emergence of cloud computing technology has brought new ideas to solve the above problems. Cloud GIS refers to a cloud computing model optimized based on GIS, which makes geospatial computing possible in a distributed environment.
Cloud computing is divided into four business models, infrastructure as a service (IAAS), platform as a service (PAAS), software as a service (SAAS), and data as a service (DAAS).
According to the deployment mode, it is divided into public cloud, private cloud and hybrid cloud.
Cloud GIS has the characteristics of cloud computing, that is, distributed storage (big data) and distributed computing (cloud computing), which meets the requirements of GIS performance.
>>1.2 Challenges faced by GIS
GIS is both data-intensive and computationally intensive.
>>1.3 Basic characteristics of cloud GIS technology
Cloud GIS can solve the above problems and has the characteristics of resource pooling, elastic scaling, on-demand use and other cloud computing.
The resources in resource pooling can be storage, processing, network broadband, etc. Through resource pooling, independent and decentralized resources, including servers, data centers, and even cheap personal computers, can be gathered together, without distinction between them. Provide computing, storage and other capabilities. These resources can be geographically distributed in every corner of the world, and can come from a variety of idle equipment. Resource pooling is the basis for making full use of resources.
Elastic scaling, easy to understand, has the same meaning as on-demand allocation.
>>1.4 The service mode and deployment method of cloud GIS
Cloud computing has the characteristics of ultra-large scale, virtualization, high reliability, versatility, high scalability, and on-demand services. Cloud GIS also has the same characteristics as cloud computing.
Cloud GIS service model: In addition to infrastructure as a service IAAS, platform as a service PAAS, software as a service SAAS, there is also data as a service DAAS.
There is no doubt that IAAS is the foundation of cloud GIS, PAAS and DAAS are built based on IAAS, and SAAS is successfully built based on PAAS and DAAS.
In the future, X as a Service (XAAS), everything is a service.
example:
1. Build a distributed geographic data storage service. (Hadoop)
2. Build a tile generation tool based on distributed storage. (Mapnik)
3. Test: What kind of improvement has been made in the operating speed and efficiency of 2 servers and 1 server?
>>Tile generation service based on Hadoop:
>>Hadoop和mapnik：
