Name
Abstract | ||
|---|---|---|
The efficient usage of workstations clusters depends first of all on the distribution of the workload. The following paper introduces a method to obtain efficient load balancing for data parallel applications through dynamic data assignment and a simple priority mechanism, on a heterogeneous cluster of workstations, assuming no prior knowledge about the workload. This model improves the performance of load balancing methods in which one or more control processes remain idle for an extended... |
Year | Venue | Keywords |
|---|---|---|
1999 | Informatica (Slovenia) | dynamic data,load balance |
Field | DocType | Volume |
Iterative reconstruction,Load balancing (computing),Workload,Computer science,Idle,Parallel computing,Data acquisition,Workstation,Heterogeneous cluster,Dynamic data,Distributed computing | Journal | 23 |
Issue | Citations | PageRank |
1 | 13 | 2.02 |
References | Authors | |
1 | 1 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alessandro Bevilacqua | 1 | 200 | 26.45 |