Arquitetura de um cluster computacional de baixo consumo e com proporcionalidade energética
One of the main challenges for the so-called Green Computing is to get a better relation between the amount of work performed by the computational infrastructure and the energy consumption to maintain it, providing better energy efficiency. This work presents the architecture of a computing clust...
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| Formato: | doctoralThesis |
| Idioma: | por |
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Brasil
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| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/24935 |
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| Resumo: | One of the main challenges for the so-called Green Computing is to get a better relation
between the amount of work performed by the computational infrastructure and the
energy consumption to maintain it, providing better energy efficiency. This work presents
the architecture of a computing cluster with low energy consumption that powers
on or off a number of running machines automatically and dynamically. The quantity of
enabled devices adjusts according to the actual processing demand, which avoids unnecessarily
powered equipment and increases the overall system power efficiency. In order
to carry out its development, a theoretical model is proposed, discussed, and implemented
through the NPi-Cluster, a cluster composed of Raspberry Pi devices. To prove the
proposed model feasibility, NPi-Cluster is used as a web server with load balancing. Data
gathered shows that NPi-Cluster has adequate performance when compared to other web
servers running on traditional server architectures, however with less power consumption.
A 7-machine cluster running at maximum performance is able to handle more than 450
simultaneous requests, with about 1000 transactions per second. The power consumption
required to do it is about 15 Watts, which is equivalent to a energy-saving light bulb or a
computer in suspended mode that does not perform any task. When the requests demand
is low, the power consumption is dynamically reduced until less than 2 Watts. Besides to
being able to handle workloads with acceptable quality of service, the proposed cluster
also provides high availability by avoiding single points of failure. |
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