RUPER-LB：在不可预测的云环境中实现负载均衡的并行应用程序
RUPER-LB: Load balancing embarrasingly parallel applications in unpredictable cloud environments
摘要：
几位作者已经研究了云计算运行科学应用程序的适用性。然而，这些环境中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。为了减轻这些影响，这项工作提出了RUPER-LB，松散耦合的迭代并行应用程序，运行在具有不同的计算能力的基础设施上的负载均衡器。用真实世界的仿真软件得到的结果，显示RUPER-LB的适用性，以适应这种应用程序的执行环境与可变的性能，并突出其采用的方便性。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
