Special Issue on: "Cloud Computing, Big Data and Data Science"
Dr. Bingwei Liu, Aetna Inc. USA
Mr. Vinayak Tanksale, Ball State University, USA
In recent years cloud has been the foundation of computing, storage and networking for modern applications, whether itís private, public or hybrid cloud. Big data analysis is more accessible than before because of the maturity of cloud technologies. Data science is solving problems with higher computing performance and better precision thanks to the emergence of machine learning libraries on big data platforms. The special issue aims to collect state of the art research results on cloud, big data and data science related areas.
Suitable topics include, but are not limited to, the following:
- Advance of virtualisation technology
- Performance modelling, scheduling and optimisation of cloud data centres
- Hybrid cloud
- Security, privacy, governance in cloud
- Mobile cloud
- Fog computing
- Big data platform
- Machine learning for big data
- Big data streaming analysis
Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).
All papers are refereed through a peer review process.
All papers must be submitted online. To submit a paper, please read our Submitting articles page.
Manuscripts due by: 1 April, 2017
Notification to authors: 1 June, 2017
Final versions due by: 1 August, 2017