Adaptive incremental transfer learning for efficient performance modeling of big data workloads

M Garralda-Barrio, C Eiras-Franco… - Future Generation …, 2025 - Elsevier
The rise of data-intensive scalable computing systems, such as Apache Spark, has
transformed data processing by enabling the efficient manipulation of large datasets across …

AI-Enhanced Secure Data Aggregation for Smart Grids with Privacy Preservation.

C Wang, C Wang, W Zheng… - Computers, Materials & …, 2025 - search.ebscohost.com
As smart grid technology rapidly advances, the vast amount of user data collected by smart
meter presents significant challenges in data security and privacy protection. Current …

Pre-Trained RS-VGG19 Model for Remote Sensing Natural Scene Image Classification Using Spark Distributed Framework

Z Li, Y Zhang, N Zhao, G Liu, R Zheng - Journal of Shanghai Jiaotong …, 2025 - Springer
Remote sensing image classification using deep learning methods faces challenges such
as high complexity, significant computational demands, and inefficiency on resource …

An Asynchronous Transmission for Inter-Stage Communication in Spark Via Time-Varying Network Bandwidth Utilization

Z Changpeng, X Wang, B Han, T Zhou - Available at SSRN 4965188 - papers.ssrn.com
Spark has garnered significant attention owing to its superior capability in processing vast
amounts of data. Its executor-based model necessitates that sufficient resources are …