| Title |
Deadline scheduling for aperiodic tasks in inter-Cloud environments: a new approach to resource management
|
|---|---|
| Published in |
The Journal of Supercomputing, September 2014
|
| DOI | 10.1007/s11227-014-1285-8 |
| Authors |
Florin Pop, Ciprian Dobre, Valentin Cristea, Nik Bessis, Fatos Xhafa, Leonard Barolli |
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 % |
|---|---|---|
| Spain | 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 6% |
| Unknown | 45 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 33% |
| Student > Master | 6 | 13% |
| Student > Bachelor | 5 | 10% |
| Student > Doctoral Student | 5 | 10% |
| Professor | 3 | 6% |
| Other | 6 | 13% |
| Unknown | 7 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 26 | 54% |
| Engineering | 5 | 10% |
| Decision Sciences | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 10 | 21% |
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 29 May 2016.
All research outputs
#19,440,618
of 23,911,072 outputs
Outputs from The Journal of Supercomputing
#434
of 543 outputs
Outputs of similar age
#174,043
of 241,202 outputs
Outputs of similar age from The Journal of Supercomputing
#6
of 9 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 543 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 241,202 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.