We’ll show how Wendelin and SlapOS could handle acquisition, analysis and exploitation of data, making it a potential solution for IOT scenarios where data is available and needs some logic applied before being presented as web application, possibly on a commercial basis.
The agenda of the presentation includes an introduction on SlapOS, as a tool used to deploy a wide range of different services and an introduction of Wendelin, as a tool in order to make out-of-core python applications.
After a short introduction, we progress to show the steps to deploy SlapOS infrastructure and later to deploy Wendelin on the just deployed SlapOS, including an use case which shows SlapOS deploying a fluentd instance to ingest data to the Wendelin Database.
To conclude, we make a live demo with an Jupiter using out-of-core python to handle wav files stored on Wendelin, and a second short demo on handle computer resources consumption data.
We have 90 smartphones compatible with both 4G and 5G. They need an average of 1 Mbps per smartphone for users to work.
We have a single ORS configured in 4G, 3,7 GHz and 20 MHz.
We need to connect 50 more smarthones to our network.
We can either migrate to 5G with a single ORS or purchase a second ORS.
Mbps | 4G | 5G | |
---|---|---|---|
90 smartphones | 90 | 1 ORS = 20W | 1 ORS = 20W |
140 smartphones | 140 | 2 ORS = 40W | 1 ORS = 20W |
We have 140 smartphones compatible with 5G. They need an average of 1 Mbps per smartphone for users to work.
We have a single ORS configured in 5G, 3,7 GHz and 20 MHz.
We need to connect 140 more smarthones to our network.
We can either extend bandwidth from 20 MHz to 40 MHz or purchase a second ORS.
Mbps | 5G 20 MHz | 5G 40 MHz | |
---|---|---|---|
140 smartphones | 140 | 1 ORS = 20W | 1 ORS = 25W |
280 smartphones | 280 | 2 ORS = 40W | 1 ORS = 25W |
gradual migration from 4G to 5G with DSS minimizes CO2 impact
claims that 5G increases CO2 impact seem illogical
OCP Servers in Sweden are powered by hydroelectricity (no CO2 emissions).
They are used for 3 years by a large cloud prodider then they are renewed and then they are used by Rapid.Space.
80% of server components can still last 3 more years,
Trash after 3 years | Renew after 3 years (infinite capacity) | Renew after 3 years (finite capacity) | |
---|---|---|---|
Year 0 | 100 new servers = 100 CO2 | 100 new servers = 100 CO2 | 100 new servers = 100 CO2 |
Year 3 | 100 new servers = 100 CO2 | 100 renewed servers = 0 CO2 | 80 renewed servers = 0 CO2 20 new servers = 20 CO2 |
Total | 200 | 100 | 120 |
Savings | 0% | 50% | 40% |
We suppose that nuclear energy in France has zero CO2 impact and that server performance to power ratio is divided by 4 every 4 years.
We suppose that a server can last 6 years.
We purchase new servers in Germany, use them for 3 years, move them to France after 3 years and trash them after 3 more years.
We suppose that we have the same quantity of servers in France and Germany where quantity is measured by performance.
France | Germany | France (moved) | Germany (moved) | |
---|---|---|---|---|
Year 0 | 100 new servers = 0 CO2 | 100 new servers = 100 CO2 | 100 existing servers = 0 CO2 | 100 new servers = 100 CO2 |
Year 3 | 100 existing servers = 0 CO2 | 100 existing servers = 32 CO2 | 100 moved servers = 0 CO2 | 100**(3/4) new servers = 32 CO2 |
Total | 200 | 132 | ||
Savings | 33% |