[PDF][PDF] Overcoming the Complexity of Quality Assurance for Big Data Systems: An Examination of Testing Methods.

C Daase, D Staegemann, K Turowski - IoTBDS, 2024 - scitepress.org
As the complexity and diversity of big data systems reaches a new level, testing the solutions
developed is becoming increasingly difficult. In this study, a systematic literature review is …

Ethershare: Share information in jointcloud environment using blockchain-based smart contracts

P Zheng, Z Zheng, W Chen, J Bian… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
With the development of cloud computing, a great amount of information is stored on cloud,
such as Facebook, Twitter, and so on. Single cloud or company is not reliable enough for …

Coordination-aware assurance for end-to-end machine learning systems: the R3E approach

HL Truong - AI Assurance, 2023 - Elsevier
Concerns of robustness, reliability, resilience, and elasticity in Machine Learning (ML)
systems are important, and they must be considered in trade-off with efficiency factors …

Performance Appraisal Information System for Intelligent HRM Based on SQL and Data Complexity Estimation

C Xu - 2022 International Conference on Electronics and …, 2022 - ieeexplore.ieee.org
Performance appraisal information system for the intelligent HRM based on SQL and data
complexity estimation is designed in this paper. Through the above analysis, for data …

DwarfGC: A space-efficient and crash-consistent garbage collector in NVM for cloud computing

H Li, M Wu - 2018 IEEE Symposium on Service-Oriented …, 2018 - ieeexplore.ieee.org
Emerging cloud computing arouses need for large-scale data processing which in turn
promises vigorous developments on big data platforms running on Java Virtual Machine …

[CITÁCIA][C] R3E‑An Approach to Robustness, Reliability, Resilience and Elasticity Engineering for End‑to‑End Machine Learning Systems

HL Truong - 2020