Geographic information system (GIS) is an integrated collection of computer software and data used to view and manage information about geographic places, analyze spatial relationships, and model spatial processes. With the growing popularity and wide application of GIS in reality, performance has become a critical requirement, especially for mobile GIS services. To attack this challenge, this paper tries to optimize the performance of GIS services by deploying them into edge computing architecture which is an emerging computational model that enables efficient offloading of service requests to edge servers for reducing the communication latency between end-users and GIS servers deployed in the cloud. Stochastic models for describing the dynamics of GIS services with edge computing architecture are presented, and their corresponding quantitative analyses of performance attributes are provided. Furthermore, an optimization problem is formulated for service deployment in such architecture, and a heuristic approach to obtain the near-optimal performance is designed. Simulation experiments based on real-life GIS performance data are conducted to validate the effectiveness of the approach presented in this paper.

中文翻译：

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将GIS服务部署到边缘：从性能评估和优化的角度进行的研究

地理信息系统（GIS）是计算机软件和数据的集成集合，用于查看和管理有关地理位置的信息，分析空间关系以及对空间过程进行建模。随着GIS的日益普及和广泛应​​用，性能已成为至关重要的要求，尤其是对于移动GIS服务。为了应对这一挑战，本文尝试通过将GIS服务部署到边缘计算体系结构中来优化GIS服务的性能，该边缘计算体系结构是一种新兴的计算模型，能够将服务请求有效地卸载到边缘服务器，以减少最终用户与GIS服务器之间的通信延迟。部署在云中。提出了用于描述具有边缘计算架构的GIS服务动态的随机模型，并提供了相应的性能属性定量分析。此外，针对这种架构中的服务部署提出了一个优化问题，并设计了一种获得接近最佳性能的启发式方法。进行了基于真实GIS性能数据的仿真实验，以验证本文提出的方法的有效性。