首页> 外文会议>IEEE亚太地区服务计算会议 >Using Ant Colony Optimization for SuperScheduling in Computational Grid
【24h】

Using Ant Colony Optimization for SuperScheduling in Computational Grid

机译:使用蚁群算法进行计算网格的超调度

获取原文

摘要

The problem of how to allocate the resources optimally and adoptively in the dynamic, scalable and distribute-controlled grid environment is introduced and discussed numerously. But recent researches can't satisfy with the needs of resource allocation in grid system thoroughly. In this paper, we use the SuperScheduling concept in grid system, which is with no explicit model. And we introduce Ant Colony Optimization applied for those models to implement resource allocation. We test the validity of Ant Colony Optimization which gets good results to satisfy with the needs of resource allocation in the dynamic, scalable grid environment with no global control.
机译:引入并讨论了如何在动态,可伸缩和分布式控制的网格环境中最佳地和过分地分配资源的问题。但是最近的研究不能完全满足网格系统中资源分配的需求。在本文中,我们在网格系统中使用了SuperScheduling概念,而没有明确的模型。并介绍了应用于这些模型的蚁群优化算法,以实现资源分配。我们测试了蚁群优化的有效性,该算法在没有全局控制的动态,可扩展的网格环境中获得了很好的结果,可以满足资源分配的需求。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号