Paper Info
Title
Deploying GIS Services into the Edge: A Study from Performance Evaluation and Optimization Viewpoint
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.
Year
DOI
Venue
2020
10.1155/2020/8822990
SECURITY AND COMMUNICATION NETWORKS
DocType
Volume
ISSN
Journal
2020.0
1939-0114
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Jianbing Zhang122.32
Bowen Ma200.34
Jiwei Huang317725.99