| Title |
A survey on bandwidth-aware geo-distributed frameworks for big-data analytics
|
|---|---|
| Published in |
Journal of Big Data, February 2021
|
| DOI | 10.1186/s40537-021-00427-9 |
| Authors |
Mohammed Bergui, Said Najah, Nikola S. Nikolov |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 19% |
| Student > Master | 4 | 15% |
| Professor > Associate Professor | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Lecturer | 1 | 4% |
| Other | 5 | 19% |
| Unknown | 7 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 54% |
| Business, Management and Accounting | 3 | 12% |
| Agricultural and Biological Sciences | 1 | 4% |
| Engineering | 1 | 4% |
| Unknown | 7 | 27% |