15^th International Conference on Cloud Computing: Services and Architecture (CLOUD 2026)

June 27 ~ 28, 2026, Copenhagen, Denmark

Scope & Topics

15^th International Conference on Cloud Computing: Services and Architecture (CLOUD 2026) The 15th International Conference on Cloud Computing: Services and Architecture (CLOUD 2026) brings together researchers, practitioners, and industry leaders to explore the rapidly evolving landscape of cloud technologies and their transformative impact on modern enterprises. As organizations continue to modernize their digital ecosystems, cloud computing has become far more than a cost saving strategy, it now serves as a foundation for innovation, agility, and intelligent automation across every sector.

CLOUD 2026 provides a premier forum for addressing these opportunities and challenges. We invite contributions that illuminate the future of cloud computing from foundational architectures and data center scale systems to AI infrastructure, edge intelligence, sustainability, and emerging paradigms such as confidential computing and quantum cloud integration.


The conference welcomes original research results, innovative projects, comprehensive surveys, and industrial case studies that demonstrate significant advances in computer science, engineering, and cloud driven applications.

Topics of interest include, but are not limited to, the following

Next Generation Cloud Infrastructure and Architecture


• Cloud Native Architectures, Microservices, and Service Meshes
  
• Serverless Computing, Stateful Serverless, and Function Level Optimization
  
• Disaggregated and Composable Infrastructure (Compute, Memory, Storage, Network)
  
• Rack Scale and Data Center Scale System Design
  
• Virtualization, Containerization, and Lightweight Isolation
  
• Accelerator Aware Cloud Architectures (GPU/TPU/ASIC/DPU/FPGAs)
  
• Multi Cloud, Hybrid Cloud, and Federated Cloud Interoperability
  
• Hardware/Software Co-Design for Cloud Platforms
  
  AI/ML Systems for Cloud and Cloud for AI
  
  
• Distributed Training Systems for LLMs and Foundation Models
  
• Large Scale Inference Serving, Batching, and Scheduling
  
• GPU/Accelerator Virtualization, Slicing, and Multi Tenant Isolation
  
• Model Parallelism, Pipeline Parallelism, and Memory Efficient Training
  
• AI Native Data Centers and Accelerator Rich Clusters
  
• Data Centric AI Pipelines: Curation, Quality, Lineage, and Versioning
  
• Cloud Native Infrastructure for Responsible AI, Governance, and Model Monitoring
  
• Synthetic Data Generation Infrastructure for AI Training
  
  Data Center Networking and In Network Computing
  
  
• High Speed Data Center Networks (RDMA, RoCE, Programmable Switches)
  
• In Network Computing, SmartNIC/DPU Offloading
  
• Congestion Control, Load Balancing, and Traffic Engineering
  
• Network Virtualization and Software Defined Networking (SDN)
  
• Network Function Virtualization (NFV) and Cloud Native Network Services
  
• WAN Aware and Geo Distributed Networking for Planet Scale Systems
  
  Cloud Scale Data Management and Storage
  
  
• Cloud Native Databases (OLTP/OLAP), Serverless Databases
  
• Disaggregated Storage Systems and Distributed File Systems
  
• Big Data Processing Frameworks and Cloud Scale Analytics
  
• Learned Storage Engines and ML Augmented Indexing
  
• Metadata Management, Data Governance, and Data Fabric Architectures
  
• Cloud Scale Transaction Processing, Consensus, and Replication Protocols
  
  Security, Privacy, and Trust in Cloud Systems
  
  
• Confidential Computing, TEEs, and Secure Enclaves at Scale
  
• Zero Trust Cloud Architectures
  
• Privacy Preserving Cloud Computing (MPC, DP, Homomorphic Encryption)
  
• Identity, Access Control, and Policy Enforcement
  
• Secure Multi Cloud and Federated Environments
  
• Cloud Forensics, Threat Detection, and Intrusion Response
  
• Privacy Enhancing Technologies for AI Training and Inference
  
  Edge, Fog, and Distributed Cloud
  
  
• Edge to Cloud Continuum Architectures
  
• Real Time, Low Latency, and Geo Distributed Systems
  
• ML/AI at the Edge, Federated Learning, and Distributed Intelligence
  
• Resource Management and Scheduling Across Edge/Fog/Cloud
  
• Mobility Aware and Location Aware Cloud Services
  
• Edge Native Storage, Networking, and Compute Platforms
  
  Sustainability, Energy Efficiency and Carbon Aware Cloud
  
  
• Carbon Aware Workload Scheduling and Placement
  
• Renewable Energy Aligned Cloud Operations
  
• Energy Efficient Data Center Design
  
• Thermal Aware and Power Aware Resource Management
  
• Sustainable AI Training and Inference Infrastructure
  
  Reliability, Observability and Cloud Operations
  
  
• Cloud Scale Monitoring, Telemetry, and Observability
  
• Failure Detection, Root Cause Analysis, and Automated Remediation
  
• Chaos Engineering and Fault Injection Frameworks
  
• SRE Driven Cloud Automation and Resilience Engineering
  
• Autonomous Cloud Systems (Self Driving Clouds)
  
• Predictive Maintenance and ML Driven Operations
  
  Cloud Services, Platforms and Applications
  
  
• PaaS Innovations and Cloud Application Platforms
  
• Event Driven and Reactive Cloud Architectures
  
• Cloud Native DevOps, GitOps, and CI/CD Automation
  
• Cloud Applications for IoT, Cyber Physical Systems, and Digital Twins
  
• Cloud Support for AR/VR, Metaverse Scale Applications, and Real Time Media
  
• Cloud Based Workflow Engines and Orchestration Frameworks
  
  Emerging Paradigms and Future Cloud Directions
  
  
• Quantum Cloud Computing and Hybrid Quantum Classical Workflows
  
• Blockchain, Web3, and Decentralized Cloud Services
  
• Open Source Cloud Ecosystems and Open Standards
  
• Novel Cloud Programming Models and Abstractions
  
• Benchmarks, Workload Characterization, and Cloud Performance Evaluation
  
• Planet Scale Computing and Geo Distributed Cloud Architectures
  
  

Paper Submission

Authors are invited to submit papers through the conference Submission System by April 11, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from CLOUD 2026, after further revisions, will be published in the special issue of the following journals.

• International Journal on Cloud Computing: Services and Architecture (IJCCSA)
  
• International Journal of Software Engineering & Applications (IJSEA)
  
• Computer Science & Engineering: An International Journal (CSEIJ)
  
• Advanced Computing: An International Journal (ACIJ)
  
• International Journal of Information Sciences and Techniques (IJIST)
  
• International Journal on Web Service Computing (IJWSC)
  
• Information Technology in Industry (ITII)
  

Important Dates

Co - Located Event

• 12^th International Conference on Artificial Intelligence and Applications (AIFU 2026)
  
• 15^th International Conference on Embedded Systems and Applications (EMSA 2026)
  
• 16^th International Conference on Computer Science, Engineering and Applications (CCSEA 2026)
  
• 7^th International Conference on Big Data and Machine Learning (BDML 2026)
  
• 12^th International Conference on Signal and Image Processing (SIPRO 2026)
  
• 15^th International Conference on Software Engineering and Applications (SEA 2026)
  
• 12^th International Conference on Networks & Communications (NCOM 2026)
  
• 14^th International Conference on Data Mining & Knowledge Management Process (DKMP 2026)
  
• 7^th International Conference on Natural Language Computing and AI (NLCAI 2026)
  
• 7^th International Conference on Block chain and Internet of Things Applications (BIoT 2026)
  

***** The invited talk proposals can be submitted to cloud@ccsea2026.org