IEEE Sixth International Workshop on
Cloud Computing Systems, Networks, and Applications (CCSNA)

Organized in conjunction with
14th IEEE International Conference on Mobile Ad hoc and Sensor Systems (MASS)
Orlando, Florida, USA, on October 22-25, 2017

Cloud computing, as well as Cloud-inspired business models, enable 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 network, computing, applications, and systems. The Sixth International Workshop on Cloud Computing Systems, Networks, and Applications (CCSNA-2017) 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 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
• Cloud and Internet of Things (IoT)
• Modeling for cloud system, network and storage
• Performance analysis for cloud system, network and storage
• Intra-cloud computing and networking
• Mobile Cloud system design
• Fog and Edge Computing
• 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


Submission Procedure
Authors are invited to submit original, unpublished research papers that are not currently under review elsewhere. All submissions should be written in English with a maximum length of 9 single-spaced, double-column pages using 10pt fonts on 8.5 x 11 inch paper, including all figures, tables, and references, in PDF format. Authors must use the Manuscript Templates for IEEE Conference Proceedings. Accepted papers will appear in the conference proceedings published by IEEE and will be presented at the conference. Based on TPC reviews and discussions, some papers may be accepted as 5-page short papers, in addition to the regular 9 page papers. For all papers, IEEE reserves the right to exclude the paper from distribution after the conference (e.g., removal from IEEE Xplore) if the paper is not presented at the conference..



General co-Chairs:
Constandinos Mavromoustakis, University of Nicosia, Cyprus
Yaser Jararweh, Jordan University of Science and Technology, Jordan

TPC Co-Chairs:
Houbing Song, West Virginia University, USA
Elhadj Benkhelifa, Staffordshire University, UK)
Peng Li, University of Aizu, Japan
Deze Zeng, China University of Geosciences, China

Steering Committee:
Chuan Heng Foh University of Surrey, UK
Jinsong Wu Universidad de Chile, Chile
Periklis Chatzimisios Alexander TEI of Thessaloniki, Greece
Song Guo Hong Kong Polytechnic University, HK
Andy Rindos IBM Research, USA
Mladen Vouk, North Carolina State University, USA