13th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2021)

Key Topics

• Cloud Services and Applications
  • Cloud services models & frameworks
  • XaaS (everything as a service including IaaS, PaaS, and SaaS)
  • Cloud service management
  • Service deployment and orchestration in the Cloud
  • Cloud services reference models & standardization
  • Cloud workflow management
  • Cloud elasticity
  • Cloud-powered services design
  • Data management applications & services
  • Machine learning and systems interactions
  • Mining and analytics
  • Service for computing-intensive applications
  • Cloud programming models, benchmarks, and tools
  • Data-provisioning services
  • Fault-tolerance & availability of cloud services and applications
  • Cloud-based services & protocols
  • Business models & economics of cloud services
  • Application development and debugging tools
• Architecture, Storage and Virtualization
  • Virtual Machines (VMs), containers, unikernels and microservices
  • Intercloud architecture models
  • Virtualization technology and enablers (network virtualization, software-defined networking)
  • Cloud services delivery models, campus integration & "last mile" issues
  • Cloud system design with FPGAs, GPUs, APUs
  • Networking technologies
  • Scalability & performance
  • Storage & file systems
  • Operational, economic & business models
  • Resource provisioning, monitoring, management & maintenance
  • Computational resources, storage & network virtualization
  • Green data centers
  • Virtual desktops
  • Resource monitoring
  • Modeling & performance evaluation
  • Resilience, fault tolerance, disaster recovery
  • Energy efficiency
  • Disaster recovery
• Edge Computing and Distributed Cloud
  • Distributed Cloud Infrastructure
  • Cloudlet-enabled applications
  • Architectural models, prototype implementations and applications
  • Foundations and principles of distributed cloud computing
  • Interoperability and mobility
  • Cloud brokers and coordination across multiple resource managers
  • Dynamic resource, service and context management on edge computing
  • Software infrastructure for cloudlets
  • IoT cloud architectures & models
  • Fog Computing
  • Economics and pricing
  • Cloud-based context-aware IoT
  • Experience with and performance evaluation of existing deployments and measurements (public, private, hybrid, federated environments)
• Security, Privacy and Trust
  • Authentication & authorization
  • Accountability & audit
  • Blockchain Cloud services
  • Cloud integrity
  • Hypervisor security
  • Cryptography in the Cloud
  • Prevention of data loss or leakage
  • Identity management & security as a service
  • Trust & credential management
  • Secure, interoperable identity management
  • Usable security Risk management in cloud computing environments
  • Trust models for cloud services
  • Privacy-preserving data mining for clouds
  • Privacy policy framework for clouds
  • Cryptographic protocols against internal attacks in clouds
  • Information sharing and data protection in the cloud
  • Energy/cost/efficiency of security in clouds
  • Privacy protection in cloud platforms

Who should Attend

Attendees from research, academia and industry.