8th International Conference on Machine learning and Cloud Computing (MLCL 2027)

Scope & Topics

8^th International Conference on Machine learning and Cloud Computing (MLCL 2027) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Cloud computing. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. .

This conference aims to bring together researchers and practitioners in all aspects of machine learning and cloud-centric and outsourced computing, including (but not limited to):

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

Case Studies and Theories in Cloud Computing
Cloud Application, Infrastructure and Platforms
Cloud Applications in Vertical Industries
Cloud Based, Parallel Processing
Cloud Business
Cloud Computing Architecture
Cloud Storage and File Systems
Consolidation
Data storage and Management in Cloud Computing
Design Tool for Cloud Computing
Energy Management and Programming Environments
Location Based Services, Presence, Availability, and Locality
Machine Learning Applications
Machine Learning in knowledge-intensive systems
Machine Learning Methods and analysis
Machine Learning Problems
Machine Learning Trends
Maintenance and Management of Cloud Computing
Mobile Clouds for New Millennium, Mobile Devices
Networks within Cloud systems, the Storage Area, and to the Outside Virtualization in the Context of Cloud Computing
NoSQL Data Stores
Performance, SLA Management and Enforcement
Platforms
Resource Provisioning
Security Techniques for the Cloud
Service-Oriented Architecture in Cloud Computing
Social Clouds (Social Networks in the Cloud)
System Integration, Virtual Compute Clusters
The Open Cloud: Cloud Computing and Open Source
Virtualization on Platforms in the Cloud

Paper Submission

Authors are invited to submit papers through the conference Submission System by October 24, 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 The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Submit