7th International Conference on Cloud, Big Data and Web Services (CBW 2026)

7th International Conference on Cloud, Big Data and Web Services (CBW 2026) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Cloud, Big Data and Web services. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Cloud, Big Data and web services.

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.

·         Cloud Architecture, Engineering and Design

·         Cloud Native Systems, Microservices and Service Meshes

·         Serverless Computing and Function as a Service (FaaS)

·         Multi Cloud, Hybrid Cloud and Cross Cloud Interoperability

·         Distributed Systems for AI/ML Workloads

·         GPU/TPU/Accelerator Scheduling and Multi Tenant AI Infrastructure

·         Confidential Computing and Trusted Execution Environments (TEE)

·         Cloud Observability, Telemetry and Reliability Engineering (SRE)

·         Cloud Automation, DevOps, MLOps and Infrastructure as Code

·         High Performance Computing (HPC) in the Cloud

·         Software Defined Infrastructure, SDN and NFV

·         Sustainable and Carbon Aware Cloud Computing

·         Cloud Networking and Edge to Cloud Continuum

·         Large Scale Data Processing (Spark, Flink, Ray, etc.)

·         Data Lakehouse Architectures and Unified Analytics Systems

·         Real Time and Streaming Data Analytics

·         Data Governance, Quality, Lineage and Compliance

·         Distributed Databases, NoSQL/NewSQL and Cloud Native Data Stores

·         Vector Databases and Embedding Based Retrieval

·         Graph Data Management and Graph Mining

·         Data Mesh and Decentralized Data Architecture

·         Big Data Security, Privacy and Federated Data Governance

·         Energy Efficient and Sustainable Data Systems

·         Domain Specific Big Data Applications (Healthcare, Finance, Smart Cities, etc.)

·         Machine Learning and Deep Learning for Large Scale Data

·         Foundation Models, LLMs and Generative AI Systems

·         Distributed Training, Parallel ML and Model Serving

·         Federated Learning and Privacy Preserving ML

·         Trustworthy AI: Fairness, Explainability, Robustness and Safety

·         AutoML and Automated Data Engineering

·         Multimodal Learning (Text Image Audio Video)

·         Knowledge Graphs, Semantic Computing and Intelligent Information Systems

·         AI for Cloud Optimization, Resource Prediction and Workload Management

·         Edge and Fog Computing Architectures

·         6G Enabled Edge Intelligence and Ultra Low Latency Systems

·         IoT Platforms, Data Management and Large Scale Sensor Networks

·         Cyber Physical Systems and Industrial IoT

·         Digital Twins and Simulation Driven Analytics

·         Real Time Distributed Systems and Time Sensitive Networking

·         Edge Native AI and TinyML

·         Zero Trust Architectures for Cloud and Distributed Systems

·         Privacy Preserving Data Analytics (DP, HE, MPC)

·         Secure Multi Party Computation and Decentralized Trust Models

·         Identity, Access Management and Authentication in Cloud/Edge Environments

·         AI Driven Threat Detection and Security Analytics

·         Blockchain Based Security and Distributed Ledger Technologies

·         Web Services Architecture, Standards and Protocols

·         Service Oriented Architecture (SOA) and Microservices

·         API Driven Ecosystems, API Security and API Management

·         Event Driven Architectures and Reactive Systems

·         Semantic Web, Linked Data and Knowledge Driven Services

·         Web Scale Systems: Scalability, Performance and High Availability

·         Testing, Verification and Benchmarking of Web Services

·         Cloud and Big Data Applications in Healthcare, Finance, Manufacturing and Government

·         Enterprise Cloud Migration, Modernization and Digital Transformation

·         AI Driven Business Services and Intelligent Automation

·         Social Clouds, Collaborative Platforms and Digital Ecosystems

·         Sustainability, Green Computing and Carbon Aware Workload Scheduling

·         Real World Case Studies, Benchmarks and Experimental Evaluations

Authors are invited to submit papers through the conference Submission System by May 16, 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 (H index 46) in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from CBW 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 on Web Service Computing (IJWSC)

·         International Journal of Grid Computing & Applications (IJGCA)

·         International Journal of Data Mining & Knowledge Management Process (IJDKP)

(2nd batch : submissions after May 11th)

·         Submission Deadline: May 16, 2026

·         Authors Notification: June 13, 2026

·         Registration & Camera-Ready Paper Due : June 16, 2026

Here's where you can reach us: cbw@cdkp2026.org (or) cbwconference@gmail.com