Architecture:

 

  • Cloud Services models (IaaS, PaaS, SaaS) 
  • Cloud services reference models and standardisation
  • Intercloud architecture models
  • Cloud federation and hybrid cloud infrastructure
  • Cloud services provisioning and management 
  • Cloud services delivery models, campus integration and “last mile” issues
  • Networking technologies for data centers, intracloud and interclouds
  • Cloud powered services design
  • Programming models and systems/tools
  • Cloud system design with FPGA, GPU, APU
  • Monitoring, management and maintenance
  • Operational, economic and business models 
  • Green data centers
  • Business processes, compliance and certification
  • Dynamic resource provisioning

 

 

Big Data: 

 

  • Machine learning
  • Data mining
  • Approximate and scalable statistical methods
  • Graph algorithms
  • Querying and search
  • Data Lifecycle Management for Big Data (sources, cleansing, federation, preservation, privacy, etc.)
  • Frameworks, tools and their composition
  • Storage and analytic architectures
  • Performance and debugging
  • Hardware optimizations for Big Data (multi-core, GPU, networking, etc.)
  • Data Flow management and scheduling

 

 

Security and Privacy:

 

  • Accountability
  • Audit in clouds
  • Authentication and authorization 
  • Cloud integrity and binding issues
  • Cryptography for/ in the cloud
  • Hypervisor security
  • Identity/ Security as a Service
  • Prevention of data loss or leakage
  • Secure, interoperable identity in the Cloud
  • Security and privacy in clouds
  • Trust and credential management 
  • Trusted Computing in Cloud Computing
  • Usability and security

 

 

Services and Applications:

 

  • Security services on the Cloud
  • Data management applications and services on the Cloud
  • Scheduling and application workflows on the Cloud 
  • Cloud application benchmarks
  • Cloud-based services and protocols
  • Cloud model and framework 
  • Cloud-based storage and file systems
  • Cloud scalability and performance
  • Fault-tolerance of cloud services and applications
  • Application development and debugging tools
  • Business models and economics of Cloud services
  • Services for improving Cloud application availability
  • Use cases of Cloud applications

 

 

Virtualization:

 

  • Server, storage, network virtualization
  • Resource monitoring
  • Virtual desktop
  • Resilience, fault tolerance
  • Modeling and performance evaluation
  • Security aspects
  • Enabling disaster recovery, job migration
  • Energy efficient issues

 

 

HPC on Cloud:

 

  • Load balancing for HPC clouds
  • Middleware framework for HPC clouds
  • Scalable scheduling for HPC clouds
  • HPC as a Service
  • Performance Modeling and Management
  • Programming models for HPC clouds
  • HPC cloud applications ; Use cases, experiences with HPC clouds
  • Cloud deployment systems for HPC clouds
  • GPU on the Cloud

 

 

IoT and Mobile on Cloud:

 

  • IoT cloud architectures, models
  • Cloud-based dynamic composition of IoT applications and services
  • Cloud-based context-aware IoT applications and services
  • Mobile cloud architectures and models
  • Green mobile cloud computing
  • Resource management in mobile cloud environments
  • Cloud support for mobility-aware networking and protocols
  • Multimedia applications in mobile cloud environments
  • Security, privacy and trust in mobile IoT clouds
  • Cloud-based mobile networks and applications, e.g., cloud-based mobile social networks, cloud-based vehicle networks, and cloud-based ehealthcare networks