Luxembourg
Tracks
CloudCom 2016 aims to bring together researchers and expert practitioners who work on cloud computing and related technologies. Topics of interests are distributed more precisely across the following tracks.
Track 1: Architecture and Virtualization
- Intercloud architecture models
- Cloud services delivery models, campus integration & “last mile” issues
- Networking technologies
- Programming models & systems/tools
- Cloud system design with FPGAs, GPUs, APUs
- Storage & file systems
- Scalability & performance
- Resource provisioning, monitoring, management & maintenance
- Operational, economic & business models
- Green data centers
- Computational resources, storage & network virtualization
- Resource monitoring
- Virtual desktops
- Resilience, fault tolerance, disaster recovery
- Modeling & performance evaluation
- Disaster recovery
- Energy efficiency
Track 2: Cloud Services and Applications
- Cloud services models & frameworks
- Cloud services reference models & standardization
- Cloudpowered services design
- Business processes, compliance & certification
- Data management applications & services
- Application workflows & scheduling
- Application benchmarks & use cases
- Cloudbased services & protocols
- Faulttolerance & availability of cloud services and applications
- Application development and debugging tools
- Business models & economics of cloud services
Track 3: Internet of Things (IoT) and Mobile on Cloud
- IoT cloud architectures & models
- Cloudbased dynamic composition of IoT
- Cloudbased contextaware IoT
- Mobile cloud architectures & models
- Green mobile cloud computing
- Resource management in mobile cloud environments
- Cloud support for mobilityaware networking protocols
- Multimedia applications in mobile cloud environments
- Cloudbased mobile networks and applications
Track 4: Big Data
- Machine learning
- Data mining
- Approximate & scalable statistical methods
- Graph algorithms
- Querying & search
- Data lifecycle management
- Frameworks, tools & their composition
- Dataflow management & scheduling
Track 5: High Performance Computing (HPC) in/with the Cloud
- Load balancing
- Middleware solutions
- Scalable scheduling
- HPC as a Service
- Programming models
- Use cases & experience reports
- Cloud deployment systems
- TCO analysis Cloud vs HPC
Track 6: Security and Privacy
- Accountability & audit
- Authentication & authorization
- Cloud integrity
- Cryptography for & in the cloud
- Hypervisor security
- Identity management & security as a service
- Prevention of data loss or leakage
- Secure, interoperable identity management
- Trust & credential management
- Trusted computing
- Usable security
Track 7: Distributed Cloud / Cloud Brokering / Edge Computing
- Distributed Cloud Infrastructure
- Cloud federation & hybrid cloud infrastructure
- Utility Computing (UC)
- Cloud Brokering Problem
- Edge Computing infrastructure
- Cloudlets
- Fog Computing Systems
