基于真实数据的谷歌云模拟器，可精准复现大规模集群负载。
AGOCS -- Accurate Google Cloud Simulator Framework
- 解析12.5K节点的谷歌云月度真实工作负载，构建高保真模拟框架
- 在桌面机上运行，精确还原任务、节点及资源使用详情
- 开源可用，适合云计算研究者日常实验与性能分析
本文提出一种高保真云工作负载模拟器——准确谷歌云模拟器（AGOCS），其基于真实谷歌集群（12.5K节点，持续一整个月）的工作负载痕迹进行解析。该框架可在个人桌面机上便捷运行，能够精确揭示执行任务、作业和节点的详细参数，并提供真实的资源使用统计信息。系统采用Scala实现，强调并行执行与可扩展设计。论文详述了AGOCS的结构框架与关键设计决策，同时探讨了未来可能提升性能的替代方案。该框架已开源，可通过GitHub获取。
原文摘要 · Abstract (English)
This paper presents the Accurate Google Cloud Simulator (AGOCS) - a novel high-fidelity Cloud workload simulator based on parsing real workload traces, which can be conveniently used on a desktop machine for day-to-day research. Our simulation is based on real-world workload traces from a Google Cluster with 12.5K nodes, over a period of a calendar month. The framework is able to reveal very precise and detailed parameters of the executed jobs, tasks and nodes as well as to provide actual resource usage statistics. The system has been implemented in Scala language with focus on parallel execution and an easy-to-extend design concept. The paper presents the detailed structural framework for AGOCS and discusses our main design decisions, whilst also suggesting alternative and possibly performance enhancing future approaches. The framework is available via the Open Source GitHub repository.
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