Cloud-edge integrated secure storage architecture and technical challenges
The rapid development of the Internet of Things (IoTs) has posed numerous challenges to data management. To address these challenges and meet the growing demand for managing ever-increasing amounts of data, the nation has formulated a strategic plan for the “coordinated development of cloud computing and edge computing.” This paper proposes a cloud-edge integrated secure storage architecture that aims at exploring effective management approaches for IoT data in cloud-edge fusion scenarios. This architecture leverages key technologies such as confidential computing, data reduction, and cross-domain synchronization to support efficient data management and security assurance. On this basis, the paper further presents a core system design solution tailored to the proposed secure storage architecture, addressing efficiency bottlenecks during implementation. Additionally, the paper discusses future research directions under this architecture, aiming to provide new perspectives and solutions for IoT data management in emerging scenarios.
Authors
- Fang Hua (ORCID: https://orcid.org/0000-0001-6214-1384)
- Haomiao Yang (ORCID: https://orcid.org/0000-0002-5968-3518)
- Zhirong Shen (ORCID: https://orcid.org/0000-0003-4552-1670)
- Jingwei Li
- Jingyuan Yang (ORCID: https://orcid.org/0000-0002-7206-800X)
- Ting Chen
- Jia Shu Sun
- Xiaosong Zhang
Publication Details
- Journal
- Scientia Sinica Informationis
- Published
- 2025-02-18
- DOI
- https://doi.org/10.1360/ssi-2024-0325
- Primary Topic
- Advanced Data Storage Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00