Abstract-Geographical

Location Based Services (LBS) have become a popular technology to retrieve information about the surroundings of a mobile user which results in ubiquitous demand of spatial information service with diverse needs of different types of users. The aim of this paper is to reveal the potential of cloud-based spatial information service architecture that plays an integral role in LBS design and practice. This paper analyzes the characteristics of the spatial information of cloud services, such as data access transparency, spatial analysis parallelization, service capabilities flexible, information services standardization, service aggregation visualization, re-development flexible. This paper provides a possible solution to overcome the LBS service issues. In this paper, the short review of LBS and Cloud computing are given first and then the possibility of LBS design with cloud computing are analyzed. At last, cloud-based spatial information service architecture is proposed.

Geographical Information System (GIS) always play an integral role in information systems, but it comes with technology problem, such as low efficiency ,less flexible, no redundancy of existing GIS application configuration which have high entry cost. The aim of this paper is to presents a lightweight, efficient and scalable microkernel plug-in geospatial information application system and its implementation method for GIS in microkernel design and practice. In this paper a software model called Resource loading manager (RLM) is designed. Through the RLM efficient allocation of geographic information resources and security management could be achieved. Using existing cloud computing technology, GIS of spatial public service will impact the ordinary way of life, bring enormous business opportunities.

this article mainly focuses on the method and solution of Geosciences Data Network Sharing. We put forward a solution for GDS (Geosciences Data Sharing) based on SOA (ServiceOriented Architectures) & Web Services. The services in Geosciences Data Sharing are described with WSDL (Web Services Description Language) in our solution. And users can access data transparently from Data Sharing Platform and access the data services correspondingly. Since Service-Oriented Architecture is applied, we can not only create new services bus, but also can continue utilizing the investment in IT before by wrapping these existing assets as services that provide geographic business functions. Considering from the down-top hierarchy model, the following coarse-grained technology layers are implemented in our solution: 1) Database layer; 2) Data Bus layer; 3) GSB layer (Geographical Service Bus); 4) Web Client layer. Corresponding to coarse-grained technology layers, there is a cohesive set of fine-grained modules written in Java. Part of these modules in GDS have been developed and successfully applied in the Data Center for Resources & Environmental Sciences in East China as a key project of Chinese Academy of Sciences. It has been proved GDS based SOA & Web Services can provide more efficient geosciences information services than traditional methods.