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CLBD 2020 : International Conference on Cloud and Big Data

Zurich, Switzerland
Event Date: Nov 21, 2020 - Nov 22, 2020
Submission Deadline: Sep 26, 2020
Notification of Acceptance: Oct 10, 2020
Camera Ready Version Due : Oct 18, 2020

About

International Conference on Cloud and Big Data (CLBD 2020) 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.

Call For Paper

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

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

Big Data

  • 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 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

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