...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Grid Computing >Optimal Load Distribution for Multiple Heterogeneous Blade Servers in a Cloud Computing Environment
【24h】

Optimal Load Distribution for Multiple Heterogeneous Blade Servers in a Cloud Computing Environment

机译：云计算环境中多个异构刀片服务器的最佳负载分配

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Given a group of heterogeneous blade servers in a cloud computing environment or a data center of a cloud computing provider, each having its own size and speed and its own amount of preloaded special tasks, we are facing the problem of optimal distribution of generic tasks over these blade servers, such that the average response time of generic tasks is minimized. Such performance optimization is important for a cloud computing provider to efficiently utilize all the available resources and to deliver the highest quality of service. We develop a queueing model for a group of heterogeneous blade servers, and formulate and solve the optimal load distribution problem of generic tasks for multiple heterogeneous blade servers in a cloud computing environment in two different situations, namely, special tasks with and without higher priority. Extensive numerical examples and data are demonstrated and some important observations are made. It is found that server sizes, server speeds, task execution requirement, and the arrival rates of special tasks all have significant impact on the average response time of generic tasks, especially when the total arrival rate of generic tasks is large. It is also found that the server size heterogeneity and the server speed heterogeneity do not have much impact on the average response time of generic tasks. Furthermore, larger (smaller, respectively) heterogeneity results in shorter (longer, respectively) average response time of generic tasks.
机译：给定一组在云计算环境或云计算提供商的数据中心中的异构刀片服务器，每个刀片服务器都有自己的大小和速度以及自己的预加载特殊任务的数量，我们面临着将通用任务优化分配到这些刀片服务器，从而使通用任务的平均响应时间最小化。这种性能优化对于云计算提供商有效利用所有可用资源并提供最高服务质量至关重要。我们为一组异构刀片服务器开发了一个排队模型，并针对两种不同情况在云计算环境中制定和解决了多个异构刀片服务器的通用任务的最优负载分配问题，即具有和不具有较高优先级的特殊任务。大量的数值示例和数据得到了证明，并且做出了一些重要的观察。发现服务器大小，服务器速度，任务执行要求以及特殊任务的到达率都对一般任务的平均响应时间有显着影响，尤其是当一般任务的总到达率很大时。还发现服务器大小异质性和服务器速度异质性对一般任务的平均响应时间没有太大影响。此外，较大（分别较小）的异构性会导致通用任务的平均响应时间较短（相应较长）。

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