posted by organizer: kekegaipace || 6403 views || tracked by 5 users: [display]

IEEE SSC 2017 : The 3rd IEEE International Conference of Scalable and Smart Cloud

FacebookTwitterLinkedInGoogle

Link: http://ssc.2017.csclouds.org/
 
When Jun 26, 2017 - Jun 28, 2017
Where New York, USA
Submission Deadline Mar 15, 2017
Notification Due Apr 10, 2017
Final Version Due May 1, 2017
Categories    scalable computing   smart cloud   smart computing   computer science
 

Call For Papers

The emergency of smart cloud computing has enabled a great improvement in multiple industries. The concept of smart has been paid a high attention by both researchers and practitioners from different perspectives. The approach of achieving smart is being sought to reaching diverse aims, such as high performance computing, energy-aware solutions, green computing, and artificial intelligence. As a crucial technical trend, smart cloud is considered a critical dimension of cloud computing implementations and growths. Gathering contemporary research achievements in the field is remarkably significant for the research.

We aim to collect the latest achievements and exchange research ideas in the domains of intelligent data and security at this academic event. Joining SSC 2017 will be a great opportunity for your to reach academics, professionals, and vendors who have the same research interests as yours. IEEE SSC 2017 is the next edition of a series of successful academic events, including SSC 2015 (New York, USA) and SSC 2016 (Beijing, China). IEEE SSC 2017 will be held at Columbia University in New York City.

Submitted manuscripts should be written in English conforming to the IEEE conference proceedings format (8.5" x 11", Two-Column, template available at IEEE website. Full Papers (up to 6 pages complimentary, or 12 pages with the over length charge), Short Papers (up to 4 pages complimentary, or 5 pages with the over length charge). See Instructions for authors. All paper submissions must represent original and unpublished work.

Topics of particular interest include, but are not limited to:

New paradigms in cyber security
Emerging attack methods
Digital forensics and privacy issues in cloud computing
Cyber monitoring approaches
Big data security strategy
Big data security issues in social networks
Social engineering, insider threats, advance spear phishing
Security and fault tolerance for embedded or ubiquitous systems
Cloud users' privacy information protection
Critical issues and solutions of Cyber security in tele-health
Cyber security in mobile embedded systems
New security cloud computing model, framework, and application
Heterogeneous clouds and vulnerabilities
Secure methods for heterogeneous cloud resource sharing
Green cloud computing mechanisms
Cloud-based audio/video streaming techniques
Quality of Service (QoS) improvements techniques
Case studies for cyber security applications
Cloud-based real-time multimedia techniques
New attack methods and applications
Green cloud computing
Quality of Service (QoS) improvements techniques
Case studies for various applications
Cloud-based sensor network and security issues

Related Resources

Ei/Scopus-AI2A 2026   2026 IEEE 6th International Conference on Artificial Intelligence, Automation and Algorithms (AI2A 2026)
IEEE-MLNLP 2026   2026 IEEE 9th International Conference on Machine Learning and Natural Language Processing (MLNLP 2026)
IEEE SSCI 2027   2027 IEEE Symposium Series on Computational Intelligence
Ei/Scopus-ACEPE 2026   2026 3rd IEEE Asia Conference on Advances in Electrical and Power Engineering (ACEPE 2026)
GreeNet Symposium - SGNC 2026   17th Symposium on Green Networking and Computing (SGNC 2026)
IEEE AIxVR 2026   8th International Conference on Artificial Intelligence & extended and Virtual Reality
IEEE ICCT-PACIFIC 2026   2026 IEEE 2nd International Conference on Consumer Technology - Pacific (ICCT-Pacific 2026)
IEEE-DSIT 2026   2026 IEEE 9th International Conference on Data Science and Information Technology
MLDS 2026   7th International Conference on Machine Learning Techniques and Data Science