| Title |
Mobile clusters of single board computers: an option for providing resources to student projects and researchers
|
|---|---|
| Published in |
SpringerPlus, March 2016
|
| DOI | 10.1186/s40064-016-1981-3 |
| Pubmed ID | |
| Authors |
Christian Baun |
| Abstract |
Clusters usually consist of servers, workstations or personal computers as nodes. But especially for academic purposes like student projects or scientific projects, the cost for purchase and operation can be a challenge. Single board computers cannot compete with the performance or energy-efficiency of higher-value systems, but they are an option to build inexpensive cluster systems. Because of the compact design and modest energy consumption, it is possible to build clusters of single board computers in a way that they are mobile and can be easily transported by the users. This paper describes the construction of such a cluster, useful applications and the performance of the single nodes. Furthermore, the clusters' performance and energy-efficiency is analyzed by executing the High Performance Linpack benchmark with a different number of nodes and different proportion of the systems total main memory utilized. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 20% |
| Student > Ph. D. Student | 4 | 16% |
| Researcher | 3 | 12% |
| Student > Doctoral Student | 3 | 12% |
| Lecturer | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 5 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 48% |
| Engineering | 4 | 16% |
| Mathematics | 1 | 4% |
| Environmental Science | 1 | 4% |
| Decision Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 5 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 May 2016.
All research outputs
#15,374,585
of 22,873,031 outputs
Outputs from SpringerPlus
#935
of 1,850 outputs
Outputs of similar age
#180,007
of 300,151 outputs
Outputs of similar age from SpringerPlus
#80
of 154 outputs
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We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.