1 / 20

WISE Distributed System

WISE Distributed System. SADL K.U. Leuven Geo Solutions NV. Koen Mertens Jan De Belder Rombout Verwimp. Overall agenda. Part 1: WISE ds theory Part 2: Get it real! + demo Part 3: Results & recommendations + discussion Part 4: Potential use WISE-ESTAT case + demo. Agenda Part 1.

edwardkelly
Télécharger la présentation

WISE Distributed System

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. WISEDistributedSystem SADL K.U. Leuven Geo Solutions NV Koen Mertens Jan De Belder Rombout Verwimp

  2. Overall agenda • Part 1: WISE ds theory • Part 2: Get it real! + demo • Part 3: Results & recommendations + discussion • Part 4: Potential use WISE-ESTAT case + demo

  3. Agenda Part 1 • Getting started • fundamentals • Architecture • Implementation roadmap

  4. Getting started • Bottum up knowledge building Data analysis art 5 Desktop tools data validation SADL • Basic understanding: • Data • critical validation elements

  5. Data flow analysis Getting started MS REPORTNET INTERNAL PROCESSING WISE viewer USE CASES

  6. Getting started • Legal or xx • WISE implementation plan 2010 • INSPIRE • SEIS • Technical • Evolutions on • Development (more SOA oriented) • hardware • Maturity of enterprise GIS

  7. WISE ds fundamentals • Distributed system • Benefits • Distributed workload • Distributed responsibilities • Re-use of data and software components • data management at the level where it is created • Drawbacks • Management/coordination • Large number of critical components that can fale • Complex data aggregation

  8. WISEds: fundamentals • Multiple dataflows • Obligatory reporting: WFD, BWD, UWWTD, etc • Voluntary reporting: SoE • IN/OUT

  9. WISEds: fundamentals • flow types • Frequency/mechanism • Supported • Type A -> service oriented • Type D -> reportnet • Not supported • Type B, C

  10. WISEds: funadmentals • Use case driven

  11. WISEds: Architecture • Level 1: business

  12. WISEds: Architecture • Level 2: logical components

  13. WISEds Architecture • Level 3: Technical

  14. Overview implementation • Step by step approach • Participatory approach MS/EU/others • Attention thematic/technical • 4 phases • Phase P: pilot phase -> 05/2009 • Phase I: Priority I data flows -> 2011 • Phase II: Priority II data flows -> 2013 • Phase III: priority III data flows -> 2018

  15. Phase P • Pilot Type A art 8 data • Includes candidate MS • WISE data model • Exercise to draft data entities -> logical and physical data model • Identify overlaps between directives/reporting requirements • WISE web services • Beta of WMS service for art3, art8 data • Beta of WFS service for art3, art8 data

  16. Phase I • Define PI data flows • Directives PI • Differentiate reporting elements to type A, D • Define WISE data model • Setup QA/QC rules • Implement flow A directives P1 • Modify REPORTNET to use WISE QA/QC engine • WISE services PI • WMS based on WISE GIS reference datasets e.g. large rivers, lakes… (WFD art3 & 5 data) • WFS based on WISE GIS reference datasets e.g. data large rivers, lakes…

  17. Phase II • Data flows PI • Report via predefined data flow • Define PII data flows • Data flows PII • See actions PI Phase I • WISE services PII • Specific services for WISE community • Development components to facilitate integration WISE services

  18. Phase III • Data flows PI and PII • Report via predefined data flow • Define PIII data flows • Data flows PIII • See actions PI Phase I • WISE services operational

  19. Critical MS contributions (proposal) • Phase I, II & III • To do: • Decide on A, D flow differentiation • QA/QC rules approval • Evaluate/adapt reporting sheets & schemas • Start reporting over flow A • Benefits: • Datasets available through WFS, WMS • Reduced work load through • Reporting streamlining • Quick feedback on data quality • Automatic reporting/evaluation

More Related