# uBaaS: A Unified Blockchain as a Service Platform

arXiv: https://arxiv.org/abs/1907.13293 · HTML: https://mlsanity.com/paper/1907.13293/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 31 Jul 2019.

## Built on by (most cited first, 4 of 4)

- [Is Your AI Truly Yours? Leveraging Blockchain for Copyrights, Provenance, and Lineage](https://mlsanity.com/paper/2404.06077/) (2024)
- [IUP: An Intelligent Utility Prediction Scheme for Solid-State Fermentation in 5G IoT](https://mlsanity.com/paper/2103.15073/) (2021)
- [A Reliable Data-transmission Mechanism using Blockchain in Edge Computing Scenarios](https://mlsanity.com/paper/2202.03428/) (2022)
- [A Survey on Blockchain-based Supply Chain Finance with Progress and Future directions](https://mlsanity.com/paper/2408.08915/) (2024)

## Abstract (arXiv)

Blockchain is an innovative distributed ledger technology which has attracted a wide range of interests for building the next generation of applications to address lack-of-trust issues in business. Blockchain as a service (BaaS) is a promising solution to improve the productivity of blockchain application development. However, existing BaaS deployment solutions are mostly vendor-locked: they are either bound to a cloud provider or a blockchain platform. In addition to deployment, design and implementation of blockchain-based applications is a hard task requiring deep expertise. Therefore, this paper presents a unified blockchain as a service platform (uBaaS) to support both design and deployment of blockchain-based applications. The services in uBaaS include deployment as a service, design pattern as a service and auxiliary services. In uBaaS, deployment as a service is platform agnostic, which can avoid lock-in to specific cloud platforms, while design pattern as a service applies design patterns for data management and smart contract design to address the scalability and security issues of blockchain. The proposed solutions are evaluated using a real-world quality tracing use case in terms of feasibility and scalability.