Design and Implementation of Key-Value Database for Ship Virtual Test Platform Based on Distributed System

Meng, Qingyu; Zhang, Kejia; Pan, Haiwei; Yuan, Maocai; Ma, Baoying

doi:10.1007/978-981-99-5968-6_9

Cited by 1 publication

(2 citation statements)

References 12 publications

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“…The evaluation of the system incorporates Apache Benchmark as shown in Figure 5 and Slowhttptest because of their real-world applicability, versatility, and ability to consistently duplicate results. These tools are well-known for their versatility, allowing us to thoroughly assess both the performance and security elements of our system as mentioned in Figures [6][7][8][9][10][11][12][13][14][15][16][17][18] and Tables [1][2][3]. The intentional selection of these tools not only assures a practical evaluation of our system's capabilities but also contributes to the reproducibility of our research, which aligns with the study's goals and objectives.…”

Section: E Results and Discussionmentioning

confidence: 99%

“…This paper introduces a Key-Value database for ship virtual test platforms, designed for distributed systems, supporting heterogeneous data types and large files. The proposed system demonstrates efficiency, scalability, and reliability, offering a solution for managing complex data in ship simulation and testing [13]- [14]. This provides a unifying model that breaks down the essential functions of various data-intensive systems in the age of massive and quickly expanding data.…”

Section: A Introductionmentioning

confidence: 99%

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QR Code-Based Smart Document Implementation Using Distributed Database And Digital Signature

Ayub,

Winarno,

Sudarsono

2024

ijcs

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In digitized world, digital documents are essential for information sharing. However, some organizations continue to place their reliance in traditional hard-copy formats concerning about the legitimacy of documents. This study presents an innovative approach to document verification with digital signatures, distributed databases, and QR codes. Using a two-step process for data integrity and document authentication, the study approach entails developing a Smart Document with a QR code and digital signature. For increased security and scalability, the system design distributes hash fragments among several databases using the hash split approach. The system's excellent performance, resistance to sluggish HTTP-based attacks, and effectiveness in document verification are highlighted by the results and debates. The report ends with recommendations for future improvements to strengthen the system's resilience, like implementing more secure database engines and enhancing fault tolerance. In conclusion, this method offers a viable way to verify documents in hardcopy and electronic formats in a secure and scalable manner.

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