The 7th International Conference on Cloud and Big Data (CLBD 2026) explores cloud computing, big data platforms, AI infrastructure, distributed systems, and intelligent data processing technologies for scalable and secure digital ecosystems.
Key topics
Cloud computing systems and architectures
Serverless computing and function as a service
Cloud native microservices and container orchestration
Hybrid cloud and cross cloud federation
Cloud observability, telemetry and distributed tracing
Energy efficient and carbon aware cloud operations
Performance engineering, benchmarking and SLA management
Big data systems, analytics and processing
Distributed analytics engines and scalable computation
Large scale graph analytics and knowledge extraction
Scientific computing and simulation data systems
Social media analytics and graph mining
Foundation model data engineering
Big data security, privacy and trust
AI, machine learning and cloud AI infrastructure
Distributed machine learning training platforms
GPU, TPU and DPU acceleration for AI workloads
Cloud native MLOps and AIOps
Feature stores and real time inference systems
Memory efficient AI and model optimization
AI driven autoscaling and resource prediction
Streaming, real time and event driven systems
Low latency ingestion pipelines and event processing
Stream processing with Kafka, Flink and Pulsar
Real time machine learning inference
Event driven orchestration and cloud workflows
Digital twin analytics and online computation
LLM, RAG and intelligent retrieval systems
Retrieval augmented generation on cloud platforms
Vector databases and embedding management
Hybrid retrieval using graph, vector and keyword search
Cloud hosted LLM serving and optimization
Secure and privacy preserving retrieval pipelines
Security, privacy and trust in cloud ecosystems
Confidential computing and trusted execution environments
Privacy preserving computation and federated analytics
Zero trust cloud architectures and compliance automation
AI safety, alignment and cloud guardrail systems
Adversarial testing and red teaming for AI systems
Edge, mobile and IoT cloud integration
Edge cloud continuum and distributed intelligence
IoT data ingestion and real time analytics
5G and 6G enabled cloud applications
Cloud robotics and autonomous edge systems
Geo distributed cloud systems and data consistency
Distributed, federated and decentralized systems
Federated cloud architectures and multi tenant systems
Blockchain and decentralized data platforms
Distributed ledger technologies for cloud applications
Secure data exchange and digital marketplaces
Global transaction processing systems
Data engineering and observability
Data integration, transformation and cleaning at scale
Metadata management and data lineage
Data governance, compliance and validation
Schema evolution and cloud native data modeling
Automated labeling and data centric AI pipelines
Cloud applications and emerging technologies
Cloud applications in healthcare, finance and manufacturing
Cloud enabled digital twins and simulation systems
Generative media pipelines and multimodal AI
Multi agent cloud workflows and intelligent automation
Renewable integrated cloud infrastructure
Who should attend
Cloud computing engineers and architects
Big data analysts and data scientists
Artificial intelligence and machine learning specialists
Cybersecurity and privacy professionals
Software developers and DevOps engineers
Researchers in distributed systems and networking
IoT and edge computing experts
Database administrators and data engineers
Academic researchers in cloud and data technologies
Industry professionals working with scalable digital platforms
