FECBench:用于在云边缘资源频谱中精确定位性能干扰源的可扩展框架

Yogesh D. Barve, Shashank Shekhar, A. Chhokra, S. Khare, Anirban Bhattacharjee, A. Gokhale
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引用次数: 7

摘要

在多租户虚拟化云平台中,有效的资源管理对于满足单个应用程序的服务水平目标(slo)至关重要。因此,云提供商必须能够检测性能瓶颈和可靠性问题的来源。其中一个原因是性能干扰,这也是本研究的重点,即在同一物理资源上配置的应用程序以非线性方式影响彼此的性能。在本文中,我们提出了一个可扩展的性能干扰基准测试平台的挑战和要求。这张海报展示了我们正在开发的一个可扩展的资源使用统计收集和基准测试框架,名为FECBench(雾/边缘/云Bench)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FECBench: An Extensible Framework for Pinpointing Sources of Performance Interference in the Cloud-Edge Resource Spectrum
Effective resource management is critical in multi-tenant, virtualized cloud platforms to meet service level objectives (SLOs) of individual applications. Thus, cloud providers must be able to detect sources of performance bottlenecks and reliability problems. One such cause, which is the focus of this study, is Performance Interference, where applications collocated on the same physical resource influence each others' performance in a non-linear fashion. In this paper, we present the challenges and requirements for an extensible performance interference benchmarking platform. This poster presents ongoing work on an extensible resource usage statistics collection and benchmarking framework we are developing called FECBench (Fog/Edge/Cloud Bench).
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