DOI QR코드

DOI QR Code

A Study on a Distributed Data Fabric-based Platform in a Multi-Cloud Environment

  • Received : 2021.08.11
  • Accepted : 2021.09.04
  • Published : 2021.09.30

Abstract

In a multi-cloud environment, it is necessary to minimize physical movement for efficient interoperability of distributed source data without building a data warehouse or data lake. And there is a need for a data platform that can easily access data anywhere in a multi-cloud environment. In this paper, we propose a new platform based on data fabric centered on a distributed platform suitable for cloud environments that overcomes the limitations of legacy systems. This platform applies the knowledge graph database technique to the physical linkage of source data for interoperability of distributed data. And by integrating all data into one scalable platform in a multi-cloud environment, it uses the holochain technique so that companies can easily access and move data with security and authority guaranteed regardless of where the data is stored. The knowledge graph database mitigates the problem of heterogeneous conflicts of data interoperability in a decentralized environment, and Holochain accelerates the memory and security processing process on traditional blockchains. In this way, data access and sharing of more distributed data interoperability becomes flexible, and metadata matching flexibility is effectively handled.

Keywords

References

  1. Skilton, Mark, and Felix Hovsepian. The 4th industrial revolution. Springer Nature, 2018.
  2. Patel, Jayesh. "Bridging data silos using Big Data integration." International Journal of Database Management Systems 11.2/3, 2019.
  3. Alvord, Micah M., et al. "Big Data Fabric Architecture: How Big Data and Data Management Frameworks Converge to Bring a New Generation of Competitive Advantage for Enterprises."
  4. Yang, Xi, and Tom Lehman. "Model driven advanced hybrid cloud services for big data: Paradigm and practice." 2016 Seventh International Workshop on Data-Intensive Computing in the Clouds (DataCloud). IEEE, 2016.
  5. Ling Zhang, System and circuit design techniques for wlan-enabled multi-standard receiver, pp.85.2005.
  6. Weedon, Daniel B., and Daniel Olsen. "Knowledge Graph.", 2021.
  7. Menon, Angiras, Nenad B. Krdzavac, and Markus Kraft. "From database to knowledge graph-using data in chemistry." Current Opinion in Chemical Engineering 26: pp33-37, 2019. https://doi.org/10.1016/j.coche.2019.08.004
  8. Zaman, Shakila, et al. "Thinking Out of the Blocks: Holochain for Distributed Security in IoT Healthcare." arXiv preprint arXiv:2103.01322, 2021.
  9. Fritsch, Felix, et al. "Challenges and Approaches to Scaling the Global Commons." Frontiers in Blockchain 4, 9, 2021.
  10. Holochain zome, https://holochain.github.io/holochain-rust/zome/welcome.html
  11. Lee, Jong-Sub, and Seok-Jae Moon. "Business Collaborative System Based on Social Network Using MOXMDR-DAI+." International Journal of Advanced Culture Technology 8.3, pp223-230, 2020. DOI https://doi.org/10.17703/IJACT.2020.8.3.223.