Call for Papers Format

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Call For Papers

The “Cloud” is a natural evolution of distributed computing and of the widespread adaption of virtualization and SOA. In Cloud Computing, IT-related capabilities and resources are provided as services, via the Internet and on-demand, accessible without requiring detailed knowledge of the underlying technology. The IEEE International Conference and Workshops on Cloud Computing Technology and Science, steered by the Cloud Computing Association, aim to bring together researchers who work on cloud computing and related technologies.

Topics include but are not limited to:

Architecture:

Cloud Infrastructure as a Service
Cloud Platform as a Service
Cloud federation and hybrid cloud infrastructure
Programming models and systems/tools
Green data center
Networking technologies for data center
Cloud system design with FPGA, GPU, APU
Monitoring, management and maintenance
Economic and business models
Dynamic resource provisioning

MapReduce:

Performance characterization and optimization
MapReduce on multi-core, GPU
MapReduce on hybrid distributed environments
MapReduce on opportunistic / heterogeneous computing systems
Extension of the MapReduce programming model
Debugging and simulation of MapReduce systems
Data-intensive applications using MapReduce
Optimized storage for MapReduce applications
Fault-tolerance & Self-* capabilities

Security and Privacy:

Accountability
Audit in clouds
Authentication and authorization
Cryptographic primitives
Reliability and availability
Trust and credential management
Usability and security
Security and privacy in clouds
Legacy systems migration
Cloud Integrity and Binding Issues

Services and Applications:

Cloud Service Composition
Query and discovery models for cloud services
Trust and Security in cloud services
Change management in cloud services
Organization models of cloud services
Innovative cloud applications and experiences
Business process and workflow management
Service-Oriented Architecture in clouds

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
Optimal cloud deployment for HPC