论文标题
RUPER-LB：在无法预测的云环境中，负载平衡令人尴尬的并行应用
RUPER-LB: Load balancing embarrasingly parallel applications in unpredictable cloud environments
论文作者
论文摘要
几位作者研究了云计算的适用性，以运行科学应用。但是，在这些环境中的不可预测的性能波动阻碍了科学应用程序向云提供商的迁移。为了减轻这些效果，这项工作介绍了Ruper-LB，这是一种用于松散耦合的迭代并行应用的负载平衡器，该应用在具有不同计算功能的基础架构上运行。使用现实世界模拟软件获得的结果显示了Ruper-LB的适用性，以使这种应用程序适应具有可变性能的执行环境，并突出了其采用的便利性。
The suitability of cloud computing has been studied by several authors to run scientific applications. However, the unpredictable performance fluctuations in these environments hinders the migration of scientific applications to cloud providers. To mitigate these effects, this work presents RUPER-LB, a load balancer for loosely-coupled iterative parallel applications that runs on infrastructures with disparate computing capabilities. The results obtained with a real world simulation software, show the suitability of RUPER-LB to adapt this kind of applications to execution environments with variable performance and highlight the convenience of its adoption.
