Cloud-based Geo-information SPI Services For Colleges And Solution Of Computation/Data-intensive Tasks

With the rapid development of science and technology, information is becoming increasingly diverse and its volume is growing exponentially. As a vital source of information closely linked to our lives, geographic data is playing an increasingly important role in society. To effectively store and analyze geographic data, a geographic information system(GIS) is needed. The world's first GIS, Canadian GIS, was developed in the 1960 s. From then on, the development of GIS has been driven by, and is more and more dependent on, computing technology. Currently, cloud computing has been an emerging model for GIS.This paper focuses on the cloud-based geographic information service for campus users and the solution of geographic tasks which are both computation-intensive and data-intensive(hereinafter referred to as “double-intensive geographic tasks”). The content of this paper is divided into two parts.(1) Cloud-based geographic information services for campus users, whose key issues include:(a) the selection of a proper deployment model for campus-based cloud computing,(b) the integration of cloud computing and geographic information services, and(c) the specific types of the geographic information service for campus users. The main achievements of this part include:(a) the establishment of a private cloud, and(b) the supply of practical geographic information services for campus users in three models—software, platform,and infrastructure(SPI services).(2) The study on double-intensive geographic tasks,whose key issue is the possible ways of effectively and efficiently dealing with these tasks. Using big data simplification as a case task, this part improves the data parallelization of the task and reduces the computing complexity of the simplification algorithm, resulting in a significant shortening of time in completing the task.The importance of this study lies in the fact that it proposes a highly available geographic information service for campus users. This service is characterized by being feature-rich, and is quick to respond to time-intensive requests. By integrating the emerging cloud computing with the proposed service, the service can be not only utilized as a cloud-based geographic information service platform, but also used as a tool for dealing with geographic tasks, especially double-intensive geographic tasks.