会議情報

ICCCBDA 2026: International Conference on Cloud Computing and Big Data Analytics

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提出日:
2026-03-15 Extended
通知日:
2026-03-30
会議日:
2026-04-24
場所:
Chengdu, China
年:
11
閲覧: 22617   追跡: 19   出席: 0

論文募集

ICCCBDA 2026 (International Conference on Cloud Computing and Big Data Analytics) is an academic conference held in Chengdu, China on 2026-04-24. The paper submission deadline is 2026-03-15 (extended). Acceptance notifications are sent on 2026-03-30.

Prospective authors are invited to submit high-quality original technical papers for presentation at the conference and publication in the conference proceedings. The topics are not limited to those as below: Track 1: Cloud Computing Fundamentals, Architecture, and Distributed Ecosystems Emerging cloud models (public, private, hybrid clouds) Cloud service architectures (IaaS, PaaS, SaaS) Cloud deployment strategies Cloud computing and semantic web technologies Cloud Computing Architecture and Systems Cloud Computing Models, Simulations, Designs, and Paradigms Cloud Computing Technologies, Services and Applications Cloud Economics Cloud Management and Operations Cloud Middleware Frameworks Cloud Optimization and Automation Cloud Quality and Performance Cloud Solution Design Patterns Track 2: Security and Privacy in Cloud and Big Data Security and privacy in cloud computing Security challenges in cloud-based IoT applications Data governance and compliance in the cloud Security and privacy for big data Privacy Preserving Big Data Analytics Blockchain based lightweight data structures for IoT data Collaborative Threat Detection using Big Data Analysis Analytics Track 3: Big Data Technologies, Frameworks, and Intelligent Systems Big data frameworks and tools (Hadoop, Spark, etc.) Algorithms and Systems for Big Data Analysis Search Big Data Storage, Indexing, Searching and Querying Techniques, models and algorithms for big data Tools and systems for big data Intelligent Data Processing Hardware/software infrastructure for big data Big Data Open Platforms Experience with Big Data Project Deployments Big Data Toolkits Track 4: Data Analytics and Machine Learning Machine learning and artificial intelligence in big data Data mining techniques and applications Big Data Analysis Analytics and Metrics Machine learning and AI for big data City-scale Data Mining and Machine Learning Visualization Analytics for Big Data Data mining, graph mining and data science Foundational Models for Big Data Issues, problems and opportunities in Big Data Track 5: IoT, Edge Computing, and Cloud Integration IoT architecture and cloud integration Data management and analytics in IoT environments Edge vs. cloud computing paradigms Data processing and analytics at the edge Applications and case studies of edge computing Challenges and solutions in edge computing deployment Social impact and sustainability in cloud and big data applications Innovative use cases leveraging cloud and big data technologies Track 6: Application of Cloud and Big Data in Various Industries Industry-specific applications (healthcare, finance, smart cities, etc.) Big Data for Vertical Industries (including Government, Healthcare, and Environment) Big Data Analysis for Business Model Innovation Big Data in Government Management Models and Practices Real-life Case Studies of Value Creation through Big Data Analytics Track 7: Future Trends and Challenges in Cloud and Big Data Emerging trends in cloud computing and big data Ethical considerations and societal impacts Regulatory changes affecting cloud and big data Research challenges and future directions Big Data Analysis Economics Big Data for Business Model Innovation SME-centric Big Data Analytics Track 8: Cloud Storage and Data Management Data storage and retrieval in cloud environments Data integration and interoperability Cloud-based database management systems Data Quality and Provenance Control Framework for Data Understanding and Quality New Data Standards and Programming Models Representation Formats for Multimedia Big Data
最終更新 Dunn Carl

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