Edge computing is the next Internet frontier that will leverage computing resources located near users, sensors, and data stores to provide more responsive services. Therefore, it is envisioned that a large-scale, geographically dispersed, and resource-rich distributed system will emerge and play a key role in the future Internet. However, given the loosely coupled nature of such complex systems, their operational conditions are expected to change significantly over time. In this context, the performance characteristics of such systems will need to be captured rapidly, which is referred to as performance benchmarking, for application deployment, resource orchestration, and adaptive decision-making. Edge performance benchmarking is a nascent research avenue that has started gaining momentum over the past five years. This article first reviews articles published over the past three decades to trace the history of performance benchmarking from tightly coupled to loosely coupled systems. It then systematically classifies previous research to identify the system under test, techniques analyzed, and benchmark runtime in edge performance benchmarking.

中文翻译：

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边缘性能基准测试调查

边缘计算是下一个互联网前沿，它将利用位于用户、传感器和数据存储附近的计算资源来提供更具响应性的服务。因此，可以预见，一个大规模、地理分散、资源丰富的分布式系统将出现并在未来的互联网中发挥关键作用。然而，鉴于此类复杂系统的松散耦合性质，预计它们的运行条件会随着时间的推移而发生显着变化。在这种情况下，需要快速捕获此类系统的性能特征，这称为性能基准测试，用于应用程序部署、资源编排和自适应决策。边缘性能基准测试是一个新兴的研究途径，在过去五年中开始获得动力。本文首先回顾过去 3 年发表的文章，以追溯从紧耦合系统到松耦合系统的性能基准测试的历史。然后，它系统地对先前的研究进行分类，以识别被测系统、分析的技术以及边缘性能基准测试中的基准运行时。