Name
Abstract | ||
|---|---|---|
The scheduling of bulk transfers such as database distribution, resources replication and security backups, and other non-time-critical tasks has a direct effect on both the performance and cost of a network. We propose to face this problem by studying the valley times - i.e., the minimum use during off-peak periods of a network - as suitable moments to carry out such tasks. To do so, we characterize them considering the valley-hour, which we define as the opposite to the well-known variable busy-hour. Our analysis, based on 6-year-long measurements from 12 points of presence in the Spanish Research and Education Network (RedIRIS), has guided us to model the valley-hour as a Gaussian process. After that, we compare its behavior in different points and detect the main factors that explain its variance, finding significant heterogeneity. With the resulting conclusions, we have proposed a system to predict valley-hours in RedIRIS with errors below an hour for most of the cases. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.23919/INM.2017.7987330 | 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) |
Keywords | Field | DocType |
Valley times,Valley-hour,Transfer scheduling,Bulk transfers,RedIRIS | Data mining,Computer science,Scheduling (computing),Simulation,Bandwidth (signal processing),Gaussian process,Point of presence,The Internet,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-5090-5658-3 | 0 | 0.34 |
References | Authors | |
9 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sergio Albandea | 1 | 0 | 0.34 |
| José Luis García-Dorado | 2 | 95 | 13.01 |
| David Muelas | 3 | 32 | 6.70 |
| Jorge E. López de Vergara | 4 | 187 | 26.98 |
| Javier Aracil | 5 | 213 | 42.23 |