FECBench: An Extensible Framework for Pinpointing Sources of Performance Interference in the Cloud-Edge Resource Spectrum
Yogesh Barve, Shashank Shekhar, Ajay Chhokra, Shweta Khare, Anirban Bhattacharjee, Aniruddha S. Gokhale · 2018
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).