**** FOURTH CALL FOR CONTRIBUTIONS ****
(Papers, Tutorial Proposals, Posters, Demos, PhD consortium)
The 10th IEEE International Conference on Cloud Computing
Technology and Science (CloudCom 2018)
Hilton Cyprus, Nicosia, Cyprus, 10-13 December, 2018
http://cyprusconferences.org/cloudcom2018/
*** Paper Submission Deadline: 6 July, 2018 (extended) ***
CloudCom is the premier conference on Cloud Computing worldwide,
attracting researchers, developers, users, students and practitioners from
the fields of big data, systems architecture, services research, virtualization,
security and privacy, high performance computing, always with an emphasis
on how to build cloud computing platforms with real impact. The conference
is co-sponsored by the Institute of Electrical and Electronics Engineers (IEEE),
is steered by the Cloud Computing Association, and draws on the excellence
of its world-class Program Committee and its participants. CloudCom 2018
will be held in Nicosia, Cyprus between 10-13 December, 2018.
TOPICS OF INTEREST
Topics of interest of CloudCom 2018 are grouped into four tracks:
• Architecture, Storage and Virtualization
• Cloud Services and Applications
• Security, Privacy and Trust
• Edge Computing and Distributed Cloud
The (non-exhaustive) list of topics for each track is as follows:
Track 1: Architecture, Storage and Virtualization
Chairs: Luiz F. Bittencourt, University of Campinas (UNICAMP), Brazil,
Ivona Brandic, TU-Wien, Austria
• Intercloud architecture models
• Virtual Machines (VMs), containers, unikernels and microservices
• Cloud services delivery models, campus integration & ìlast mileî issues
• Virtualization technology and enablers (network virtualization,
software-defined networking)
• Networking technologies
• 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
Chairs: Laura Ricci, University of Pisa, Italy,
Beniamino Di Martino, Seconda Universitaí di Napoli, Italy
• XaaS (everything as a service including IaaS, PaaS, and SaaS)
• Cloud services models & frameworks
• Service deployment and orchestration in the Cloud
• Cloud service management
• Cloud workflow management
• Cloud services reference models & standardization
• Cloud-powered services design
• Cloud elasticity
• Machine learning and systems interactions
• Data management applications & services
• Service for computing-intensive applications
• Mining and analytics
• Data-provisioning services
• Cloud programming models, benchmarks, and tools
• Cloud-based services & protocols
• Fault-tolerance & availability of cloud services and applications
• Application development and debugging tools
• Business models & economics of cloud services
Track 3: Security, Privacy and Trust
Chairs: Martin Gilje Jaatun, University of Stavanger, Norway,
Barbara Carminati, Insubria, Italy
• Accountability & audit
• Authentication & authorization
• Cloud integrity
• Blockchain Cloud services
• Cryptography in the Cloud
• Hypervisor security
• Identity management & security as a service
• Prevention of data loss or leakage
• Secure, interoperable identity management
• Trust & credential management
• Trust models for cloud services
• Usable security Risk management in cloud computing environments
• Privacy policy framework for clouds
• Privacy-preserving data mining for clouds
• Information sharing and data protection in the cloud
• Cryptographic protocols against internal attacks in clouds
• Privacy protection in cloud platforms
• Energy/cost/efficiency of security in clouds
Track 4: Edge Computing and Distributed Cloud
Chairs: Antonio Fernandez Anta, IMDEA, Spain,
Sarunas Girdzijauskas, KTH, Sweden
• Cloudlet-enabled applications
• Distributed Cloud Infrastructure
• Foundations and principles of distributed cloud computing
• Architectural models, prototype implementations and applications
• Cloud brokers and coordination across multiple resource managers
• Interoperability and mobility
• Software infrastructure for cloudlets
• Dynamic resource, service and context management on edge computing
• Fog Computing
• IoT cloud architectures & models
• Cloud-based context-aware IoT
• Economics and pricing
• Experience with and performance evaluation of existing deployments and
measurements (public, private, hybrid, federated environments)