IDE architecture design
From stgo
>> return to Cedeus IDE
What Architectural Models exist
A - Central Server-Database Architecture
El imagen abajo muestra una IDE simple, con 2 servidores:
- Servidor web con modulo de mapas en-linea, y con catalogo de datos
- Servidor con base de datos
B - Distributed Multi-DB Server Architecture
El proximo imagen muestra una IDE complejo, con 6 servidores (con base de datos multiples):
- 3+ Servidores de grupos de investigacion (con BD)
- 1 Servidor de Catalogo
- 1 Servidor de Mapas
- 1 Servidor con Base de Datos (Datos Centrales)
(es posible de user un servidor con el modulo de mapas juntos con la base de datos)
Pro & Contra
| criteria | single DB | multi DBs |
|---|---|---|
| server needs (registry server, web server, base-db server) | two servers (1 web server, one db server) | at least one web server, including a registry component (e.g. GeoNetwork), and many db-servers (one for each site) |
| maintenance needs (adding data, metadata, software updates) | one admin (one update) | many local admins (many updates) |
| user access management | one unified user rights management for all CEDEUS members (with 4 different access groups, e.g.: admin, cedeus member, invited, public) | each DB admin needs to create its own user management system and needs to ensure access by other CEDEUS groups (However, a replication of user access rights is possible) |
| data security (un-wanted access) | one dedicated data server that can only be accessed via a gateway and by only very few users | many databases with different user groups and different users per computer |
| data backups (copias d. seguridad) | regular backup for only one db sever | requires complex backup strategy or one backup devices at each location |
| power outages | one web server and one db server in the same place are easy to "secure" with a UPS | costly to provide UPS for several server locations |
| performance (serving data => scalability vs. multi-access) | performance depends on server power, may be insufficient during concurrent access | people will access (concurrent access is not very likely) |
| geographic base-data (for maps) (Well here we can also store base data on one particular assigned server) |
easier to provide one base-dataset | same base-data on several servers? danger of inconsistencies |
| quality assurance (geogr. data + metadata) | one dedicated expert to check data quality (data description, accuracy) | many experts necessary |
| documentation | one document to create for accessing data | many documents to read and maintain |
| availablity info on data: to IDE de Chile | fast to update info on data availability for IDE de Chile | additional work to gather changes in data availability at different locations |
(see also Distributed Database and Federated Database System)
Tipos de Usuarios
Tipo A - Ciudadanos
- tareas tipicos => permisos
Tipo B - Investigador CEDEUS
- tareas tipicos => permisos
Tipo C - Persona Invitado
- tareas tipicos => permisos
- accesso al unos datos especiales
Tipo D - Experto de Observatorio
- tareas tipicos => permisos
Gestion de Acceso
- al BD de datos (acceso directo: solo por expertos observatorio)
- al visor de datos (login o diferente visores: publico sin login + otro con login y interfaz diferente)
- al servicios de datos (WFS, WMS, WCS, etc)
