To help meet the ever-increasing demand for cloud computing services and resources worldwide, while providing resilience and adequate resource utilization, cloud service providers have opted to distribute their data centers around the world. This trend has been motivating research from the data center management research and practitioner community on new job schedulers that take into account data center geographical distribution. However, testing and benchmarking new schedulers for geo-distributed data centers is complicated by the lack of a common, easily extensible experimental platform. To fill this gap, we propose GDSim, an open-source, extensible job scheduling simulation environment for geo-distributed data centers that aims at facilitating the benchmarking of existing and new geo-distributed schedulers by subjecting them to a variety of data center features and conditions We use our geo-distributed job scheduler simulation platform to reproduce experiments and results for recently proposed geo-distributed job schedulers, as well as testing those schedulers under new conditions which can reveal trends that have not been previously uncovered.

中文翻译：

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用于对地理分布式数据中心调度程序进行基准测试的开源仿真平台

为了帮助满足全球对云计算服务和资源不断增长的需求，同时提供弹性和充足的资源利用率，云服务提供商选择将其数据中心分布在世界各地。这一趋势一直在推动数据中心管理研究和从业者社区对考虑数据中心地理分布的新作业调度程序的研究。然而，由于缺乏通用的、易于扩展的实验平台，对地理分布式数据中心的新调度程序进行测试和基准测试变得很复杂。为了填补这一空白，我们提出了 GDSim，这是一个用于地理分布式数据中心的开源、可扩展的作业调度模拟环境，旨在通过使现有和新的地理分布式调度程序经受各种数据中心功能的影响，促进对它们进行基准测试。我们使用地理分布式作业调度程序模拟平台来重现最近提出的地理分布式作业调度程序的实验和结果，并在新条件下测试这些调度程序，从而揭示以前未发现的趋势。