Abstract
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.
Highlights
Spatial Information technology prompted the generations of Location Based Services (LBS), a new spatial information era [1]
With the rapid advances in wireless telecommunication and portable devices technologies, Location Based Services (LBSs) provide personalized services to the mobile subscribers based on their current position using GNSS (Global Navigation Satellite System), Geographic Information systems (GIS) (Geographic Information System) and WSN (Wireless Sensor network) technologies, and the tool for efficient management and continuous control
This paper focused on the research of LBS model framework, which is under outdoor and indoor environment and mixed of multiple location mode, carefully analyzed most of common LBS application services and summarized their commons
Summary
Spatial Information technology prompted the generations of Location Based Services (LBS), a new spatial information era [1] The target of this new era of spatial information includes the government, research institutions, businesses and other professional users, and the public. How to solve the massive integration of heterogeneous data storage and management, processing, personalized service on demand and other technical problems, has driven scientists to focus on meeting the diverse needs of different types of users, providing the ubiquitous demand of location-based information service, which is considered as one of the most promising ap-. Mobile carriers providing location services are using different network interfaces, protocols and standards, and flexible strategy is an adequate mean to push current developments within the GIS and Spatial process domain, especially for the ongoing research and development topic “cloud”. The availability of Cloud computing for Geographic Information systems (GIS) has increased tremendously in recent years [3], the service agent can and efficiently deploy onto the cloud infrastructure, through the most widely used web-based service
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