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IEEE ICNC 2017 : IEEE ICNC Cloud Computing and Big Data Symposium


When Jan 26, 2017 - Jan 29, 2017
Where Santa Clara Marriott, Santa Clara, CA
Submission Deadline Jul 5, 2016
Notification Due Sep 20, 2016
Final Version Due Oct 20, 2016
Categories    cloud   BIGDATA   cloud computing   big data

Call For Papers


Call for Papers:
Cloud Computing and Big Data (CLD) Symposium, ICNC 2017

Location/Date of Conference:
Santa Clara Marriott, Santa Clara, CA, USA Jan. 26-29, 2017

Submission Deadline:
July 5, 2016

Symposium Co-Chairs:
Yingfei Dong, University of Hawaii, USA,
Sanjeev Mehrotra, Microsoft Research, USA,

With advances in cloud computing and storage, we are entering a new era when large scale distributed computation and analysis of big data sets becomes feasible. Cloud computing will also enable reliable, scalable, and performant services to be easily created and deployed. This will also have a profound effect not only in the field of computer science, but also in all areas of science, engineering, medicine, and other fields which can benefit from large-scale machine learning and big-data analysis. The Cloud Computing and Big Data (CLD) Symposium solicits high quality original research papers in all aspects of Cloud Computing and Big Data related to improvements in cloud computing platforms and services as well as applications utilizing such platforms. Topics of interests include but are not limited to:

* Datacenter and cloud networking
* Cloud storage
* Cloud resource management and virtualization
* Cloud applications
* Mobile Cloud Computing
* High-performance cloud computing
* Cloud and cluster computing platforms and systems
* Large-scale graph processing systems
* Green cloud computing and datacenter energy optimizations
* GPU and FPGA cloud computing and processing
* Internet of Things (IoT) and the cloud
* Cloud services - Infrastructure/Platform/Software as a Service (IaaS, PaaS, SaaS)
* Security and privacy in the cloud
* Interactive big-data analytics
* Big data management and analysis
* Intelligence in the cloud
* Large-scale machine learning and statistical analysis approaches in the cloud

Submission Guidelines:
Please follow the author instructions at
Direct paper submission web link of this symposium can be found at

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