You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Chapter title |
A Data Locality Aware Online Scheduling Approach for I/O-Intensive Jobs with File Sharing
|
|---|---|
| Chapter number | 7 |
| Book title |
Job Scheduling Strategies for Parallel Processing
|
| Published by |
Springer, Berlin, Heidelberg, June 2006
|
| DOI | 10.1007/978-3-540-71035-6_7 |
| Book ISBNs |
978-3-54-071034-9, 978-3-54-071035-6
|
| Authors |
Gaurav Khanna, Umit Catalyurek, Tahsin Kurc, P. Sadayappan, Joel Saltz, Khanna, Gaurav, Catalyurek, Umit, Kurc, Tahsin, Sadayappan, P., Saltz, Joel |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 13% |
| Unknown | 7 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 25% |
| Professor | 2 | 25% |
| Student > Master | 2 | 25% |
| Student > Bachelor | 1 | 13% |
| Researcher | 1 | 13% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 88% |
| Engineering | 1 | 13% |