信息通信技术与政策

信息通信技术与政策

信息通信技术与政策 ›› 2023, Vol. 49 ›› Issue (5): 54-58.doi: 10.12267/j.issn.2096-5931.2023.05.009

专题:算网融合 上一篇    下一篇

算网融合下的多云部署和数据存储发展趋势分析

Analysis of multi-cloud deployment and data storage development trend against the backdrop of computing and network convergence

翟爽, 王旭东, 张震   

  1. 华为技术有限公司,深圳 518129
  • 收稿日期:2023-04-24 出版日期:2023-05-25 发布日期:2023-05-30
  • 作者简介:
    翟爽,华为技术有限公司数据存储产品线主任工程师,主要从事数据存储产业政策与产业发展、一体化大数据中心建设、新型数据中心建设、数据存力、全闪存储、存储节能等方面的研究工作
    王旭东,华为技术有限公司数据存储产品线产业政策与联盟部长,主要从事数据存储产业政策与产业发展等方面的研究和管理工作
    张震,华为技术有限公司数据存储产品线主任工程师,主要从事数据存储产业政策与产业发展、一体化大数据中心建设、超算中心、数据存力、分布式存储等方面的研究工作

ZHAI Shuang, WANG Xudong, ZHANG Zhen   

  1. Huawei Technologies Co., Ltd., Shenzhen 518129, China
  • Received:2023-04-24 Online:2023-05-25 Published:2023-05-30

摘要:

算网融合因其能够提供高效算力、先进存力、高速运力而成为加速产业数字化转型的重要抓手。在算网融合的演进中也伴随着多云协同、云网协同、云数协同、存算协同等挑战。当前各行各业的上云需求猛增,但是大部分选择了混合多云的部署方式,而数据存储作为承载业务的数据载体,如何协同数据存储与多云的高效发展,推动算网融合落地已经变得越发重要。洞察了在多云发展过程中数据存储的发展趋势,以及在多云环境下数据管理、数据流动中面临的挑战,同时提出数据存储与云原生协同发展的建议,帮助企业在多云架构下选择适合的存储类型。

关键词: 多云, 算网融合, 数据存储, 云原生, 全闪存储

Abstract:

The computing and network convergence has become an important measure for accelerating the digital transformation of industries because it can provide high-efficiency computing power, advanced storage capacity, and high-speed transportation capacity. The evolution of computing and network convergence is also accompanied by challenges such as multi-cloud collaboration, cloud-network collaboration, cloud-data collaboration, and storage-computing collaboration. At present, the demand for migrating to the cloud in all walks of life is soaring, but most of them choose the hybrid multi-cloud deployment method, and data storage is used as the business data carrier. How to coordinate the efficient development of data storage and multi-cloud to promote the implementation of computing and network convergence has become more and more important. This paper analyzes the development trend of data storage in the process of multi-cloud development, and the challenges faced in data management and data flow in a multi-cloud environment. It proposes some suggestions on the coordinated development of data storage and cloud native so as to help enterprises to choose the appropriate storage type under the multi-cloud architecture.

Key words: multi-cloud, computing and network convergence, data storage, cloud native, all-flash storage

中图分类号: