Name
Title | ||
|---|---|---|
Dynamic load redistribution approach using genetic information in distributed computing |
Abstract | ||
|---|---|---|
Under sender-initiated load redistribution algorithms, the sender continues to send unnecessary request messages for load transfer until a receiver is found while the system load is heavy. Because of these unnecessary request messages it results in inefficient communications, low cpu utilization, and low system throughput. To solve these problems, we propose a genetic algorithm approach for improved sender-initiated load redistribution in distributed systems, and define a suitable fitness function. This algorithm decreases response time and increases acceptance rate. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11424758_25 | ICCSA (1) |
Keywords | Field | DocType |
dynamic load redistribution approach,genetic information,genetic algorithm approach,system load,sender-initiated load redistribution algorithm,low system throughput,low cpu utilization,load transfer,unnecessary request message,increases acceptance rate,algorithm decreases response time,improved sender-initiated load redistribution,genetics,genetic algorithm,distributed system,fitness function,distributed computing | Computer science,CPU time,Dynamic load testing,Response time,Computer network,Communication source,Fitness function,Redistribution (cultural anthropology),Throughput,Genetic algorithm,Distributed computing | Conference |
Volume | ISSN | ISBN |
3480 | 0302-9743 | 3-540-25860-4 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| SeongHoon Lee | 1 | 10 | 7.08 |
| Dongwoo Lee | 2 | 2 | 3.11 |
| Donghee Shim | 3 | 35 | 6.06 |
| Dongyoung Cho | 4 | 1 | 1.37 |