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BenchCouncil: International Open Benchmarking Council

 

The BenchCouncil Transaction on Benchmarking, Measuring, and Optimizing (TBench) is a multi-disciplinary publication dedicated to benchmarking, measuring, and optimizing complex systems. It publishes papers on research in the following areas.

  • Benchmark, measurement, and optimization of:

  • Benchmark specifications and open-source implementation reports of:

  • Methodologies, abstractions, metrics, and tools in benchmark, measurement, and optimization for:

    • Big Data

    • AI

    • Chain Block

    • DataCenter

    • Cloud

    • Warehouse-scale computing

    • high performance computing

    • mobile robotics

    • edge and fog computing

    • big scientific data

    • IoT

    • Other miscellaneous things, i.e., education systems, financial systems, and power systems.

TBench publishes the following papers.

  • Survey paper: survey papers on each research area.

  • Benchmark Research paper: research paper focusing on benchmarks

  • Technical Research paper: research paper focusing on the other areas

  • Comments: 1~2-page comments on benchmark research paper or survey paper

  • Reply to comment: 1~2-page reply to comments on benchmark research paper or survey paper

  • Case reports: case reports using new benchmarks, methodologies, or tools.

  • Industry papers: paper on large-scale deployment and verification of new benchmarks, methodologies, or tools.


Contacts:

Editor-in-Chief

Dr. Jianfeng Zhan

Professor, Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences

zhanjianfeng (at) ict (dot) ac (dot) cn