Abstract
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.
Highlights
Geographic information system (GIS) has been a hot technique for providing the tools for capturing, storing, analyzing, and displaying spatial data [1]
With the rapid development of the Internet and its applications, the single server cannot meet the needs of the vast majority of users, which is replaced by a two-tier or even multitier group of server architecture. erefore, we introduce edge server into the GIS system to provide higher quality of service
Deploying GIS services into edge computing architecture is an effective way for improving the performance. is paper conducts a quantitative study on the performance evaluation and optimization issue in deploying GIS services into the edge
Summary
Geographic information system (GIS) has been a hot technique for providing the tools for capturing, storing, analyzing, and displaying spatial data [1]. Edge computing is an emerging technique of optimizing computing systems by performing data processing at the edge of the network near the source of the original data [5]. There have been some research studies focusing on improving the QoS of GIS services by applying edge computing techniques, few of them paid attention to the performance evaluation issue. We make an attempt at filling this gap by presenting a performance evaluation and optimization study of the GIS services deployed in the edge computing architecture. A theoretical model for capturing the dynamics of the edge computing systems running GIS services is Security and Communication Networks presented, and its corresponding quantitative analysis is conducted.
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