Call for Papers


As the landscape of telecommunications rapidly evolves towards Next-Generation Networks (NGNs), the unprecedented growth in data generation necessitates a focused exploration of the symbiotic relationship between big data and advanced network infrastructures. Big data, characterized by its volume, velocity, and variety, serves as the essential for the seamless functioning of these advanced networks. NGNs rely on sophisticated analytics powered by big data to navigate the intricacies of network traffic, optimize resource allocation, and enhance overall performance. Real-time analytics enable instantaneous decision-making, ensuring the efficient management of network traffic and the delivery of a superior user experience.

Furthermore, big data facilitates predictive analytics, empowering NGNs to anticipate and preemptively address issues such as network congestion or security threats. As these networks continue to evolve, the integration of big data and advanced machine learning algorithms becomes indispensable, automating decision-making processes and fostering a self-optimizing network infrastructure.

BDCC 2024 platform for fostering interdisciplinary discussions, sharing groundbreaking research, and shaping the future trajectory of big data in the context of Next-Generation Networks. BDCC 2024 is open for high quality research contributions from wide range of professions including scholars, researchers, academics, and people from the industry. Papers of original research and reviews on the state of art will be accepted.

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Let the EAI Community help you build your career with collaborative research, objective evaluation, and fair recognition:

  • Get more visibility for your paper and receive a fair review with Community Review,
  • Find out if your research resonates – get real-time evaluation of your presentation on-site via EAI Compass.


We welcome contributions from the following fields:

  • Real-time analytics for instantaneous decision-making, network optimization, and quality of service enhancement in NGNs.
  • Big data analytics in identifying and mitigating security threats.
  • Quality monitoring to elevate the overall user experience within NGNs.
  • Challenges and opportunities in capacity planning, resource allocation, and dynamic adaptation of NGNs
  • Machine learning algorithms with big data to automate decision-making processes
  • Fuzzy systems and uncertainties in big data analytics
  • Big data Analytics Tools and Machine Learning for Data Analysis.
  • Big data Analytics in Industries and Ubiquitous Data Science
  • Blockchain Security and Health Privacy Protection
  • Green Technologies in Smart City Computation.
  • Self-supervised learning for multi-modal biomedical data
  • Smart Internet of Things and Vehicular Communications
  • Bioinformatics and Visualization of data
  • Big Algorithms for Software Development
  • Image Computing and Data Science Technology
  • Natural Language Generation and Clean Data
  • Natural language processing and knowledge discovery
  • Text analytics and natural language processing
  • Big Enterprise for Future Retail.
  • Data lakes and Open Source Bigdata Software
  • Scalable Data Management Systems
  • Future Advancements


All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.

Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, Google Scholar, IO-Port, MathSciNet, Inspec, and Zentralblatt MATH.

Additional publication opportunities:

Paper submission

Papers should be submitted through EAI ‘Confy+‘ system, and have to comply with the Springer format (see Author’s kit section).

  • Regular papers should be up to 12-15+ pages in length.
  • Short papers should be 6-11 pages in length.

All conference papers undergo a thorough peer review process prior to the final decision and publication. This process is facilitated by experts in the Technical Program Committee during a dedicated conference period. Standard peer review is enhanced by EAI Community Review which allows EAI members to bid to review specific papers. All review assignments are ultimately decided by the responsible Technical Program Committee Members while the Technical Program Committee Chair is responsible for the final acceptance selection. You can learn more about Community Review here.

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