Name
Abstract | ||
|---|---|---|
The growing availability of low cost microprocessors and the evolution of computing networks have enabled the construction of sophisticated distributed systems. The computing capacity of these systems motivated the adoption of clusters to build high performance solutions. The improvement of the process scheduling over clusters originated several proposals of scheduling and load balancing algorithms. These proposals have motivated this work, which defines, evaluates and implements a new load balancing algorithm for heterogeneous capacity clusters. This algorithm, named Ant Scheduler, uses concepts of ant colonies for the development of optimization solutions. Experimental results obtained in the comparison of Ant Scheduler with other approaches investigated in the literature show its ability to minimize process mean response times, improving the performance. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11946441_31 | ISPA |
Keywords | Field | DocType |
process scheduling,ant colony optimization technique,ant colony,low cost microprocessors,high performance solution,process mean response time,ant scheduler,new load,heterogeneous capacity cluster,computing capacity,load balance,distributed system,computer network,ant colony optimization | Ant colony optimization algorithms,Computer science,Parallel algorithm,Load balancing (computing),Scheduling (computing),Swarm intelligence,Response time,Ant colony,Computer cluster,Distributed computing | Conference |
Volume | ISSN | ISBN |
4330 | 0302-9743 | 3-540-68067-5 |
Citations | PageRank | References |
0 | 0.34 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bruno Rodrigues Nery | 1 | 0 | 0.34 |
| Rodrigo Fernandes De Mello | 2 | 353 | 40.85 |
| André Carlos Ponce Leon Ferreira de Carvalho | 3 | 1023 | 91.35 |
| Laurence Tianruo Yang | 4 | 30 | 4.05 |