AIBench: An Industry Standard Internet Service AI Benchmark Suite
Wanling Gao, Fei Tang, Lei Wang, Jianfeng Zhan, Chunxin Lan, Chunjie, Luo, Yunyou Huang, Chen Zheng, Jiahui Dai, Zheng Cao, Daoyi Zheng, Haoning, Tang, Kunlin Zhan, Biao Wang, Defei Kong, Tong Wu, Minghe Yu, Chongkang Tan,, Huan Li, Xinhui Tian, Yatao Li, Junchao Shao

TL;DR
AIBench is a comprehensive, industry-standard AI benchmarking suite designed for Internet services, addressing the complexity of modern microservice architectures and providing scalable, real-world relevant benchmarks across key domains.
Contribution
This paper introduces AIBench, the first industry-standard Internet service AI benchmark suite with extensive industry collaboration and real-world data integration.
Findings
Includes 16 AI problem domains relevant to Internet services
Contains an end-to-end scalable benchmark based on real-world data
Provides publicly available specifications and performance metrics
Abstract
Today's Internet Services are undergoing fundamental changes and shifting to an intelligent computing era where AI is widely employed to augment services. In this context, many innovative AI algorithms, systems, and architectures are proposed, and thus the importance of benchmarking and evaluating them rises. However, modern Internet services adopt a microservice-based architecture and consist of various modules. The diversity of these modules and complexity of execution paths, the massive scale and complex hierarchy of datacenter infrastructure, the confidential issues of data sets and workloads pose great challenges to benchmarking. In this paper, we present the first industry-standard Internet service AI benchmark suite---AIBench with seventeen industry partners, including several top Internet service providers. AIBench provides a highly extensible, configurable, and flexible…
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Taxonomy
TopicsIoT and Edge/Fog Computing · Context-Aware Activity Recognition Systems · Advanced Neural Network Applications
