Big data processing: Here is why Huawei becomes one of the Key Member of TPC-BDWG.


In this new momentum, we talk about big data processing performance and Connectikpeople recalls that, TPC-BDWG is a sub-committee of TPC and defines transaction processing and database benchmarks. It was established by 8 companies (Intel, IBM, Cisco, NEC, Red Hat, Oracle, HP, and VMware) in September, 2013, at TPC’s congress in Minneapolis, United States. TPC-BDWG aims to be the focal point of performance standard research and benchmarking in the future.
Henceforth the Shannon Laboratory of the Huawei Central Research Institute based on its progress in Online Processes Technology (OLPT), data warehouse performance optimization technology, and energy aware big data processing technology, for the Transaction Processing Performance Council (TPC), Huawei is assigned to be responsible for continuing the ‘appraisal’ of big data processing performance
benchmarks.
This means the Shannon Laboratory is now responsible for initializing the TPC energy consumption benchmark standard in big data processing and the development of the energy consumption chapter for TPC-Big Data Working Group (TPC-BDWG) benchmark specifications. The TPC is dedicated to formulating the commercial application datum procedure (benchmark) standards, performance and cost measurements, and test results management. Its benchmark test result is a key performance measurement for the core technologies of computer servers.

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