ICCN 2019 - First International Workshop on Intelligent Cloud Computing and Networking (ICCN)

Cloud computing, as well as Cloud-inspired business models, enables on-demand access to a shared pool of resources, namely computing, storage, networks, services, and applications. With the advent of Cloud-based systems, cloud operators have been aiming at reliable, secured, privacy-preserving and cost-efficient cloud design and management. As the Cloud infrastructure aims at offering various IT resources as services, requirements of Cloud applications vary based on the resources which are requested as services. Thus, the resources may refer to heavy computation resources, massive storage resources, and high-capacity network resources and so on. The heterogeneity of cloud applications leads to the challenge of holistic design of a robust Cloud system which can oversee and handle the diverse needs of numerous types of applications. On the other hand, these challenges enforce cooperation of various players in the Cloud system, each of which focuses on a different segment such as computing, network, applications, and systems.
The First International Workshop on Intelligent Cloud Computing and Networking (ICCN-2019) is the evolution of the previous 7 editions CCSNA (Cloud Computing Systems, Networks, and Applications) workshop, starting in IEEE Globecom 2013. It aims at the crossroads between scientists, researchers, practitioners and students from diverse domains in Cloud computing research. The Workshop aims at attracting contributions of system and network design that can support existing and future applications and services. Researchers are encouraged to submit original research contributions in all major areas, which include, but not limited to:
· Cloud computing system and network design
· Cloud network protocol design and management
· Optimization for cloud computing, networking, and applications
· Green cloud system design
· Cloud storage design and networking
· Cloud system and storage security
· Cloud network virtualization techniques
· Modeling for cloud system, network and storage
· Performance analysis for cloud system, network and storage
· Big data storage and networking in the Clouds
· Intra-cloud computing and networking
· Mobile Cloud system design
· Cloud media and storage design
· Real-time resource reporting and monitoring for cloud management
· Cloud system interoperability
· Cloud data center design
· Utility computing solutions in Cloud systems
· Cloud forensics
· Networking for cloud computing
· Machine learning, data mining for cloud computing
· Edge, fog, and mobile edge computing
· Security, privacy, trust for cloud computing
· Machine learning for cloud resource management
· Machine learning for traffic engineering and congestion control
· Machine learning for network measurement
· Data-driven methodology and architecture
· Networking for machine learning systems
· Resource management and device placement for machine learning systems
· Measurement and diagnosis for machine learning systems.
Keynote Speaker:
* Prof. Jiannong Cao, Hong Kong Polytechnic University, Hong Kong.