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This paper outlines BenchCouncil's view on the challenges, rules, and visionof benchmarking modern workloads like Big Data, AI or machine learning, andInternet Services. We conclude the challenges of benchmarking modern workloadsas FIDSS (Fragmented, Isolated, Dynamic, Service-based, and Stochastic), andpropose the PRDAERS benchmarking rules that the benchmarks should be specifiedin a paper-and-pencil manner, relevant, diverse, containing different levels ofabstractions, specifying the evaluation metrics and methodology, repeatable,and scaleable. We believe proposing simple but elegant abstractions that helpachieve both efficiency and general-purpose is the final target of benchmarkingin future, which may be not pressing. In the light of this vision, we shortlydiscuss BenchCouncil's related projects.

BenchCouncil's View on Benchmarking AI and Other Emerging Workloads