An on-line replication strategy to increase availability in Data Grids
Future Generation Computer Systems
The impact of data replication on job scheduling performance in the Data Grid
Future Generation Computer Systems
| Hi-index | 0.00 |
Global warming is an established issue in society and, with grid computing systems continuously growing in power consumption levels, conserving energy is of utmost importance. Geographically extensive systems in particular are beginning to be in high demand and are given tasks which are computationally intensive and include large data sets. Grids allow the sharing of data and resources in dynamic, multi-institutional virtual organizations [1], and examples of grids can be found in medicine, physics, and astronomy. When jobs sent to these systems are able to access crucial data with ease, unnecessary work done by the system is avoided, and energy can be saved.