Big data has become an emerging paradigm for practitioners and researchers exploring the value of datasets whose size is beyond the ability of commonly used software tools. Cloud computing, as an emerging platform for delivering information infrastructures and resources as IT services, is driving the innovations of big data. Both technologies continue to evolve. It makes sense that cloud computing offers a cost-effective way to support big data technologies and the advanced analytics applications that can drive business value.
This special issue aims to foster the dissemination of state-of-the-art research in the area of datacentres and big data in the cloud. It will cover theory, architecture and utilities, particularly in relation to the use of cloud computing technologies to deal with big data. We invite the submission of high-quality papers describing future potential or ongoing work.
The issue will carry revised and substantially extended versions of selected papers presented at the Second International Conference of Cloud Computing Technologies and Applications (CLOUDTECH’2016), but we also strongly encourage researchers unable to participate in the conferences to submit articles for this call.
Subject coverage includes, but is not limited to, the followings:
- Big data in the cloud
- Cloud computing techniques for big data
- Big data as a service
- Big data in pervasive computing
- Big data management
- Security applications of big data
- Big data for enterprise
Original paper submission: 30 September, 2016
Notification of first revisions/acceptance: 30 November, 2016
Submission of revised versions by authors: 30 January, 2017
Final notification of acceptance/rejection: 28 February, 2017