International Conference on Cloud Computing and Big Data Analytics

Mastering Up

International Conference on Cloud Computing and Big Data Analytics

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International Conference on Cloud Computing and Big Data Analytics

Date: February 7, 2026 | Mode: Hybrid | Location: Chennai, India
Organized by: Mastering Up
Convenors:

  • Dr. Aishwarya Dhara, Founder & Director – Innova World, India

  • Dr. Antony Cyril, Co-Founder & CTO – IoniQS BV, Netherlands


Conference Introduction

The International Conference on Cloud Computing and Big Data Analytics (ICCBDA 2026) serves as a vibrant platform for global researchers, developers, engineers, and academicians to present, discuss, and explore the latest innovations in cloud technologies, data engineering, and analytical frameworks.

With rapid advancements in distributed computing, artificial intelligence, and real-time analytics, this conference addresses the need for scalable and secure cloud infrastructures and the intelligent use of big data in business, healthcare, science, and beyond.


Conference Objective

  • To foster interdisciplinary discussions on breakthroughs in cloud infrastructure and data management systems.

  • To examine cutting-edge practices in big data processing, real-time analytics, and AI integration.

  • To bridge the gap between academic research and industrial application in cloud-based technologies.

  • To encourage innovation in cybersecurity, edge computing, and scalable architectures.


Conference Outcome

Participants will:

  • Present and receive feedback on their research from global experts.

  • Network with peers, collaborators, and potential partners across academia and industry.

  • Stay updated on the emerging trends in cloud computing and big data analytics.

  • Get opportunities to publish in reputable journals indexed in Scopus/WoS/SCI.

  • Receive digital certificates for participation and presentation.


Call for Papers – Topics of Interest

We welcome submissions on the following topics (but not limited to):

  • Cloud Architecture, Models & Services (IaaS, PaaS, SaaS)

  • Edge and Fog Computing

  • Distributed & Parallel Processing

  • Virtualization and Containerization Technologies

  • Big Data Analytics and Visualization

  • Data Mining, Warehousing, and Integration

  • Cloud Security, Privacy & Trust

  • Internet of Things (IoT) with Cloud Integration

  • Machine Learning and AI in Big Data

  • Real-Time Analytics and Stream Processing

  • Blockchain in Cloud and Big Data

  • Storage Systems and Data Centers

  • DevOps and Continuous Delivery in Cloud

  • Serverless Architectures

  • Case Studies and Applications in Smart Cities, Healthcare, Finance, etc.


About Mastering Up – EduTech Platform

Mastering Up is a dynamic EdTech platform enabling knowledge creation, dissemination, and academic collaboration. From conducting global conferences and certification programs to fostering research and professional growth, Mastering Up brings together educators, students, researchers, and industry professionals under one innovative learning ecosystem.


Important Dates (Tentative)

Milestone Date
Last Date for Abstract Submission December 15, 2025
Notification of Abstract Acceptance December 28, 2025
Registration (Without Late Fee) January 5, 2026
Registration (With Late Fee) January 20, 2026
Conference Date February 7, 2026

Registration Fees

Registrations are based on first come, first serve basis and should be completed via the official registration portal: https://rzp.io/rzp/muconference

🌐 Foreign Delegates

  • 100 USD

🇮🇳 Indian Delegates

  • Students/Scholars: ₹1000 (Late Fee: ₹1500)

  • Faculty: ₹2000 (Late Fee: ₹2500)

  • Industry/Scientists: ₹3000 (Late Fee: ₹3500)

Fee includes conference access, participation certificate, and publication eligibility.


Publication Opportunity

Selected peer-reviewed papers will be considered for publication in renowned Scopus, WoS, and SCI-indexed journals, subject to editorial guidelines. Recommended journals:

  1. Journal of Cloud Computing

    • ISSN: 2192-113X

    • Link

  2. Big Data Research

    • ISSN: 2214-5796

    • Link

  3. Future Generation Computer Systems

    • ISSN: 0167-739X

    • Link

  4. Journal of Big Data

    • ISSN: 2196-1115

    • Link

  5. IEEE Access

    • ISSN: 2169-3536

    • Link


Contact & Registration

To register for this event please visit the following URL: https://rzp.io/rzp/muconference →

 

Date And Time

2026-02-07 @ 10:00 AM to
2026-02-07 @ 04:00 PM
 

Registration End Date

2026-02-06
 

Location

Online event
 

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