Document Type
Article
Source of Publication
Discover Computing
Publication Date
12-1-2025
Abstract
Data volume, velocity, and structure have significantly evolved over the years. The complex networking architectures of current infrastructures, and the development, and accessibility of cloud services to a diverse user base have introduced numerous challenges which have raised concerns regarding the quality-of-service performance in data processing for both service providers and customers. Key issues identified in the context of big data transfer services for cloud data centers include storage, big data transfer, service transfer architecture, data processing, bandwidth, and security, all of which demand extensive research. After thoroughly screening selected peer-reviewed articles, the primary open issues are: incorporating a data placement module in the data transfer service, providing end-to-end safeguards for packet delivery, improving data transfer time and speed, minimizing costs and implementation overhead, ensuring secure data transfer between servers in the cloud, demonstrating effective big data transfer architectures, considering topology-specific extensions to reduce the busty nature of data centers, and enhancing data transfer services using machine learning algorithms during upload and download operations. This article presents a systematic literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to understand current trends, methods/models, and research problems on big data transfer services for cloud data centers. Future work considers the security and privacy of big data transmission in cloud environments.
DOI Link
ISSN
Publisher
Springer Science and Business Media LLC
Volume
28
Issue
1
Disciplines
Computer Sciences
Keywords
Big data, Big data security, Big data velocity, Cloud computing, Cloud data centers, Service architecture
Scopus ID
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Majigi, Muhammad Umar; Idris, Ismaila; Abdulhamid, Shafi’i Muhammad; and Ikuesan, Richard A., "Big data transfer service architecture for cloud data centers: problems, methods, applications, and future trends" (2025). All Works. 7382.
https://zuscholars.zu.ac.ae/works/7382
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Gold: This publication is openly available in an open access journal/series