An Integrated Design For Geospatial Analysis Based On WebGIS

Yin, Wenjing; Zou, Dan; Bao, Changchun; Zhou, Zemin; Li, Le; Lei, Pengzheng; Li, Qingjing; Wu, Jiani

doi:10.1109/imcec46724.2019.8984121

Cited by 1 publication

(3 citation statements)

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“…The architecture is composed of browser-side module and serverside module, as shown in Figure 1. The JavaScript engine on the browser side runs the map module, obtains the map tiles from the server side and organizes them into maps, and also responds to various user actions such as zooming, dragging, and marking [8]- [9][10] [11]. The server provides services such as WMS, WTS, WFS.…”

Section: A Overview Of Webgismentioning

confidence: 99%

“…Denote G i as the requested workload per unit time i-th users instance, shown as equation (8). According to equations (6) (7 (8) (9), equation (10) can be obtained.…”

Section: ∑ (7)mentioning

confidence: 99%

“…(7) After receiving the Offer, the remote callee generates Answer and sends it to the application program through the signaling service. (8)The application transfers the Answer to the local PeerConnection instance. After the negotiation between the two parties is completed, the local and remote SDP are set up and the connection is established.…”

Section: Creation Of Rtcpeerconnectionmentioning

confidence: 99%

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Efficient, Customizable and Edge-Based WebGIS System

He¹,

Zhu

2020

IEEE Access

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Nowadays there is a wide range of applications for WebGIS which can add great value to modern economic, and building WebGIS system for specific scenarios is the common requirement of the industry. While currently separate WebGIS systems are deployed at different sites and operated by different owners, each of which has the whole set of functionalities of WebGIS, and thus introduce high cost of development and maintenance, which is a waste of resources as most of the functionalities are the same or similar. An edge computing based WebGIS architecture is proposed in the paper to meet the need of customization by applying the idea of SaaS. In this distributed architecture, the resource load is reasonably balanced between the server and the browser, which improves the overall performance of the system. Also it utilizes edge computing to reduce the pressure on the server by sharing map tiles among WebGIS clients. The proposed WebGIS system can not only be well customized and personalized as it is edge computing base, but also be well usable for large number of visits due to its distributed feature. The experiments show 5 concurrent requests per second, as well as response speed increases by more than 38.6% against traditional deployment. INDEX TERMS edge computing, customizable, WebGIS, high performance, map tile sharing, deviceenhanced MEC.

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Section: A Overview Of Webgismentioning

confidence: 99%

“…Denote G i as the requested workload per unit time i-th users instance, shown as equation (8). According to equations (6) (7 (8) (9), equation (10) can be obtained.…”

Section: ∑ (7)mentioning

confidence: 99%

Section: Creation Of Rtcpeerconnectionmentioning

confidence: 99%

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