Scenario taxonomy: Difference between revisions

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Infrastructural constraints are very important and often drive the decision to use a laptop/mobile or desktop/lab environment or some combination thereof. Two major components of the infrastructure are power (grid-based electricity) and backhaul (connectivity to the Internet). In the following table, we have a combination of the two on a granular scale akin to low, medium, and high.
Infrastructural constraints are very important and often drive the decision to use a laptop/mobile or desktop/lab environment or some combination thereof. Two major components of the infrastructure are power (grid-based electricity) and backhaul (connectivity to the Internet). In the following table, we have a combination of the two on a granular scale akin to low, medium, and high.

List of relevant variables:
Server HW (RAM/Disk) - big, medium, little, none <br>
Bandwidth to Data Center - big, medium, little, none<br>
Bandwidth to Internet - big, medium, little <br>
Power in school - enough for AP and 2 x servers, enough for one server max, not enough for any servers <br>
Wireless access - Wireless AP, active attenna, none <br>
Size of school - 10 - 50, 51 - 100, 100 - 200 <br>

The idea is to pick your available resources on all the metrics that you know listed above. Then we can quickly say what services you can use and identify any constraints within those variables.

e.g. If school greater than 150 student, then must use wireless AP instead of active attena. If zero BW to data center, then peer to peer mesh only (or maybe still use server and attenna for local mesh?) and sneaker net to internet.
<br>

etc..

[[User:Gregorio|Gregorio]] 09:15, 27 March 2008 (EDT)





Revision as of 13:15, 27 March 2008

Scenario Taxonomy

Introduction

This taxonomy addresses different scenarios that may occur in implementation of XO laptops and school servers. The taxonomy in its current form is simple and by no means comprehensive. Hopefully, this will change over time.


Use cases

These scenarios can be reinforced with use cases that provide a hypothetical example of use and often help in understanding needs and assessing constraints.


Server components

  • Backup
  • Upgrade and configuration management
  • Network Gateway
  • Caching Proxy
  • Authentication
  • Content management
  • Repository

Infrastructure constraints

Infrastructural constraints are very important and often drive the decision to use a laptop/mobile or desktop/lab environment or some combination thereof. Two major components of the infrastructure are power (grid-based electricity) and backhaul (connectivity to the Internet). In the following table, we have a combination of the two on a granular scale akin to low, medium, and high.

List of relevant variables: Server HW (RAM/Disk) - big, medium, little, none
Bandwidth to Data Center - big, medium, little, none
Bandwidth to Internet - big, medium, little
Power in school - enough for AP and 2 x servers, enough for one server max, not enough for any servers
Wireless access - Wireless AP, active attenna, none
Size of school - 10 - 50, 51 - 100, 100 - 200

The idea is to pick your available resources on all the metrics that you know listed above. Then we can quickly say what services you can use and identify any constraints within those variables.

e.g. If school greater than 150 student, then must use wireless AP instead of active attena. If zero BW to data center, then peer to peer mesh only (or maybe still use server and attenna for local mesh?) and sneaker net to internet.

etc..

Gregorio 09:15, 27 March 2008 (EDT)


No grid infrastructure Grid infrastructure available, but does not work reliably Reliable grid infrastructure
No backhaul Worst case scenario
Limited backhaul (cellular, satellite, dial-up)
Good backhaul (DSL, Cable, or anything that can be called “high speed”) Best case scenario

Note here we also have to consider the different approaches that a NOC can take in each country. This is hard to tabulate (at least now for me, says martin ;-) ) but we'll eventually have a grid describing it.