SCOPE

5th International Conference on Cloud and Big Data (CLBD 2024) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Cloud computing and Big Data. 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 Computing and Big Data.

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 areas of Computer Science & Technology. Topics of interest include, but are not limited to, the following:

Topics of interest

Cloud Computing

• Cloud Application, Infrastructure and Platforms

• Design Tool for Cloud Computing

• Cloud Business

• Service-Oriented Architecture in Cloud Computing

• Cloud Based, Parallel Processing

• Virtualization on Platforms in the Cloud

• Location Based Services, Presence, Availability, and Locality

• Mobile Clouds for New Millennium, Mobile Devices

• Social Clouds (Social Networks in the Cloud)

• Maintenance and Management of Cloud Computing Cloud Computing Architecture

• Cloud Applications in Vertical Industries

• Cloud Storage and File Systems

• Networks within Cloud systems, the Storage Area, and to the Outside Virtualization in the Context of Cloud Computing

• Platforms

• System Integration, Virtual Compute Clusters

• Consolidation NoSQL Data Stores

• Performance, SLA Management and Enforcement

• Resource Provisioning

• Security Techniques for the Cloud

• Energy Management and Programming Environments

• Data storage and Management in Cloud Computing

• Case Studies and Theories in Cloud Computing

• The Open Cloud: Cloud Computing and Open Source

Big Data

• Big Data Techniques, models and algorithms

• Big Data Infrastructure and platform

• Big Data Search and Mining

• Big Data Security, Privacy and Trust

• Big Data Applications, Bioinformatics, Multimedia etc

• Big Data Tools and systems

• Big Data Mining

• Big Data Management

• Cloud and grid computing for Big Data

• Machine Learning and AI for Big Data

• Big Data Analytics and Social Media

• 5G and Networks for Big Data