Name
Abstract | ||
|---|---|---|
In this paper, the linear and nonlinear models are put forward first to describe load balancing system for parallel cluster computing. Through analyzing the stability of linear model, this paper finds the asymptotic stable condition of load balancing system with some assumptions, and the simulation results are given to compare the results in theory later. Based on the analyzing and simulation results, an adaptive load balancing algorithm(ALBA) which considers the delay, execution time and scalability of system is presented to enhance the performance of parallel computing. At last, the simulation for ALBA is given to prove the practicability of the load balancing algorithm. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/CSO.2009.13 | CSO (1) |
Keywords | Field | DocType |
execution time,nonlinear model,parallel processing,load balancing system,linear model,scalability,asymptotic stable condition,adaptive control,asymptotic stability,stability,linear model stability,resource allocation,stable load balancing algorithm,parallel cluster computing,system scalability,stable load,adaptive load,parallel computing,simulation result,delay,concurrent computing,simulation,algorithm design and analysis,cluster computing,clustering algorithms,mathematical model,computational modeling,stability analysis,load balance,parallel computer | Load management,Mathematical optimization,Nonlinear system,Computer science,Load balancing (computing),Linear model,Algorithm,Exponential stability,Adaptive control,Computer cluster,Scalability | Conference |
Volume | ISBN | Citations |
1 | 978-0-7695-3605-7 | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qingyang Meng | 1 | 4 | 2.95 |
| Jianzhong Qiao | 2 | 45 | 14.82 |
| Jun Liu | 3 | 0 | 0.34 |
| Sukuan Lin | 4 | 0 | 0.34 |