In the intelligent era, data has become a vital resource. Huawei is committed to utilizing data to build end-to-end capabilities, covering computing, storage, utilization, and AI. With these capabilities, Huawei can meet the growing requirements of various industries, maximize the value of each bit of data, and minimize the cost per bit of data across the entire lifecycle.
Building an ecosystem for the entire tech industry requires the collaboration of all parties. This is particularly true when it comes to infrastructure breakthroughs. In 2019, Huawei set up the OlympusMons Award, which rewards effective solutions to two major challenges in the data industry: how to achieve self-driven full-lifecycle data management, and create data storage with superb cost-performance.
We hope to cooperate with academics across the globe to achieve breakthroughs in technical foundations such as cross-region distributed operating systems, AI governance based on thousands of nodes, heterogeneous computing capability powered by thousands of cores, new storage media, and brain-like intelligent data reduction.
Implement the cross-data source storage engine, multi-data-center collaboration and intelligent data full-lifecycle governance with trustworthy by developing technologies such as scheduling of thousands of nodes for efficient data analysis, cross-Availability Zone disaster recovery for high-reliability and availability, federated collaboration with heterogeneous systems, distributed intelligent data index and search, intelligent copy data management etc. Help the enterprise users to discover data more efficiently and understand data more deeply, to converge and process data across a wide range of sources, engines, and regions, and eventually achieve the self-driven full-lifecycle data management.
Revolutionize the storage hardware system by developing technologies such as a single device powered with thousands of heterogeneous cores, intelligent network, storage and computing convergence, PIM/PNM, and high-performance storage media with large capacity. Help the enterprise users to eliminate barriers between computing and storage, build a primary storage system featuring memory-level performance at an HDD-level cost and a secondary storage system featuring SSD-level performance at a tape-level cost, and eventually create the data storage with superb cost-performance.
During HUAWEI CONNECT 2020, the OlympusMons award winners are officially unveiled at the 2020 OlympusMons Awarding Ceremony. The team of teacher Shu Jiwu from Tsinghua University won the OlympusMons Award and one million bonuses. The team of teacher Chen Rong from Shanghai Jiaotong University and the team of teacher Feng Dan from Huazhong University of Science and Technology won the OlympusMons Pioneer Award.
Based on the criteria of "innovative, Outstanding, Generalized, and Implementable", the assessment committee conducted scientific and rigorous analysis and evaluation on 25 subjects from five countries, and finally reached the overall ranking. Shu Jiwu, who ranks No.1, claimed that the topic "Persistent Memory Storage System Construction and Key Technologies" met the award requirements of Challenge 2 (Economical data storage per bit) from four criteria dimensions and won the award of Challenge 2. Challenge 1 (Self-driving data lifecycle governance): No outstanding application topic is available, so the prize for Challenge 1 is vacant.
Self-driving data lifecycle governance
Economical data storage per bit
Reward the achievements with outstanding performance in terms of innovation and advancement.
As we move towards the intelligent era, we must cross the data peak. OlympusMons represents Huawei Storage's unremitting pursuit and exploration
on the road to data peaks. The integration of industry, education, and research opens the door for innovation in data infrastructure.