This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research
honglei he
Corresponding Author
License:
This work is licensed under a CC BY 4.0 License. Read Full License
WebGIS currently has a wide range of application requirements and can generate greater economic value. Therefore, there are many units that need to build their own WebGIS system. At present, the way to build a system is usually to purchase professional software and hire professionals to complete the development. Such a construction method requires a high cost, and many of the WebGIS system applications are the same or similar, and repeated construction is also a waste of resources. In order to solve this problem, a WebGIS system based on edge computing is proposed. Comprehensive use of SAAS mode and edge computing methods to solve the needs of users can customize the system. And the system load is reasonably distributed between the server and the browser, which improves the performance of the system. In addition, the system uses edge computing to share map tiles among WebGIS users, reducing the pressure on the server and increasing the speed of use of the WebGIS system. Therefore, the WebGIS system based on edge computing can not only be personalized and customized, but also has good usability and can deal with a large number of visits. After experimental verification, in the case of more than 5 concurrent user requests per second, the system response speed increased by more than 38.6%.
Keywords
edge computing, customizable, WebGIS, high performance, map tile sharing
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research
honglei he
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 01 Jun, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Systems and Networking
License:
This work is licensed under a CC BY 4.0 License. Read Full License
WebGIS currently has a wide range of application requirements and can generate greater economic value. Therefore, there are many units that need to build their own WebGIS system. At present, the way to build a system is usually to purchase professional software and hire professionals to complete the development. Such a construction method requires a high cost, and many of the WebGIS system applications are the same or similar, and repeated construction is also a waste of resources. In order to solve this problem, a WebGIS system based on edge computing is proposed. Comprehensive use of SAAS mode and edge computing methods to solve the needs of users can customize the system. And the system load is reasonably distributed between the server and the browser, which improves the performance of the system. In addition, the system uses edge computing to share map tiles among WebGIS users, reducing the pressure on the server and increasing the speed of use of the WebGIS system. Therefore, the WebGIS system based on edge computing can not only be personalized and customized, but also has good usability and can deal with a large number of visits. After experimental verification, in the case of more than 5 concurrent user requests per second, the system response speed increased by more than 38.6%.
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