首页> 外文会议>Asia-Pacific Services Computing Conference >Using Ant Colony Optimization for SuperScheduling in Computational Grid
【24h】

Using Ant Colony Optimization for SuperScheduling in Computational Grid

机译:使用蚁群优化在计算网格中的超出算法

获取原文

摘要

The problem of how to allocate the resources optimally and adaptively 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:如何介绍如何在动态,可扩展和分配控制的电网环境中最佳地和自适应地分配资源并讨论。但最近的研究无法满足网格系统资源分配的需求。在本文中,我们在网格系统中使用超海修改概念,这是没有显式模型的。并且我们介绍了应用于这些模型来实现资源分配的蚁群优化。我们测试蚁群优化的有效性,从没有全局控制的动态可扩展的网格环境中满足资源分配的需求,得到了良好的效果。

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