Advances in Big Data and Cloud/Edge Computing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 April 2026 | Viewed by 36
Special Issue Editors
2. Sustainable Digitalisation Research Centre, Malmö University, 20506 Malmö, Sweden
Interests: software engineering; Internet of Things; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: internet of things (IoT); machine learning (ML); deep learning; real-time analysis; data visualization; big data; digital forensics; edge and cloud computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The proliferation of large-scale distributed applications, such as Internet of Things (IoT) applications, has led to unprecedented volumes of data being generated at the edge of the network. While Cloud and Edge computing provide the necessary computational backbone for processing this data, the key challenge lies in transforming raw streams of information into meaningful knowledge that can drive intelligent decision-making, innovation, and sustainable growth. This Special Issue focuses on the latest advancements that bridge big data management with intelligent computing paradigms to enable data-driven, context-aware, and autonomous systems.
Emerging technologies such as Agentic AI and Large Language Models (LLMs) play a transformative role in this landscape. Agentic AI systems, empowered by reasoning and goal-oriented autonomy, can actively manage and optimize complex infrastructures, dynamically orchestrating resources across cloud and edge environments. LLMs, on the other hand, excel at extracting semantic meaning, patterns, and insights from heterogeneous data sources, making them invaluable for interpreting unstructured sensor data, natural language interactions, and multimodal IoT streams. Combined with federated learning, these technologies enable privacy-preserving and collaborative intelligence across distributed nodes, fostering innovation without compromising data security.
We invite original research and case studies addressing innovative frameworks, algorithms, and architectures for making sense of big data in cloud/edge ecosystems. Topics of interest include, but are not limited to:
- Edge-native architectures for big data analytics;
- Scalable and distributed data processing pipelines;
- Agentic AI for IoT orchestration and adaptive resource management;
- Agentic AI for dynamic resource allocation;
- LLMs for big data interpretation and knowledge discovery;
- Edge-enabled real-time decision-making;
- Energy-efficient and sustainable edge computing;
- Digital twin frameworks powered by big data and edge computing;
- Hybrid cloud-edge solutions for intelligent services;
- Big data governance, interoperability, and lifecycle management;
- Ethical, explainable, and human-centered AI in IoT ecosystems.
This Special Issue aims to foster interdisciplinary research that shapes the next generation of intelligent, knowledge-driven systems, where data is not only collected and processed but also understood and transformed into actionable insights for societal and industrial impact.
Dr. Fahed Alkhabbas
Dr. Sadi Alawadi
Dr. Addi Ait-Mlouk
Guest Editors
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 100 words) can be sent to the Editorial Office for announcement on this website.
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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.
Keywords
- edge and cloud computing
- big data
- knowledge-driven systems
- internet of things
- intelligent systems
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