Application of Converged Network, Cloud Computing, and Big Data

Dear Colleagues,

The rapid convergence of next-generation networks (5G/6G, SDN/NFV, network slicing), cloud–edge–endpoint computing, and large-scale data ecosystems is reshaping how intelligent services are designed, deployed, and secured. This Special Issue focuses on mathematically grounded and computationally effective methods that enable converged network–cloud–data systems to achieve reliability, scalability, privacy, and real-time intelligence across diverse application domains.

We welcome contributions that develop new mathematical models (optimization, stochastic processes, control, graph and matrix methods), learning algorithms (ML/DL, federated and privacy-preserving learning), and systems techniques (resource scheduling, autoscaling, streaming analytics, provenance and trustworthy AI) for large, heterogeneous, and dynamic environments. Topics of interest include cloud–edge coordination, digital twins for networks, data governance and security in multi-tenant clouds, and AI-driven operations (AIOps/MLOps) under practical constraints (latency, cost, energy, compliance).

Application areas include (but are not limited to) smart cities and transportation, healthcare and bioinformatics, industrial IoT and robotics, energy and grid intelligence, finance and e-commerce security, and scientific cyber-infrastructure. Both theoretical advanced and application-driven studies (benchmarks, reproducible systems, open datasets) are encouraged.

Manuscript Submission Information: Manuscripts should be submitted online via MDPI’s submission system; all submissions that pass pre-check undergo single-blind peer review and are published on a rolling basis within the Special Issue page. Please consult the Instructions for Authors of Mathematics for formatting and policy details (APC and ethics, etc.). Titles and 100-word abstracts of planned papers may be emailed to the Editorial Office for announcement on the SI webpage.

Prof. Dr. Xianghan Zheng
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.