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CLOUD 2020 : 9th International Conference on Cloud Computing: Services and Architecture

London, United Kingdom
Event Date: Jul 25, 2020 - Jul 26, 2020
Submission Deadline: May 30, 2020
Notification of Acceptance: Jun 20, 2020
Camera Ready Version Due : Jun 28, 2020

About

9th International Conference on Cloud Computing: Services and Architecture (CLOUD 2020) helps enterprises transform business and technology. Companies have begun to look for solutions that would help reduce their infrastructures costs and improve profitability. Cloud computing is becoming a foundation for benefits well beyond IT cost savings. Yet, many business leaders are concerned about cloud security, privacy, availability and data protection. To discuss and address these issues, we are inviting researches who focus on cloud computing to shed more light on this emerging field. 

Call For Paper

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

  • 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
  • Fog and Edge Computing
  • Big Data and the Cloud
  • Machine Learning Techniques on Edge, Fog, Cloud

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