Concurrency and Computation: Practice and Experience
Special Issue
Cloud Computing and Big Data: Technologies and Applications
Aims and Scope
Cloud computing has gained great attention from both academia and IT industry as a new infrastructure requiring smaller investments in hardware platform, staff training, or licensing new software tools. It’s recognized by the community as a platform for big data storage and processing. Recent surveys stated that cloud computing will play an important role as it provides organizations with the ability to analyze and store data economically and efficiently. For example, remotely processing data was introduced as data has started to be migrated and managed in the Cloud. For example, Digital Communications Inc. (DCI) stated that by 2020, a significant portion of digital data will be managed in the cloud, and even if a byte in the digital universe is not stored in the cloud, it will pass, at some point, through the Cloud. Many solutions have been proposed and developed to improve computation performance of Big data. Some of them tend to improve algorithms efficiency, provide new distributed paradigms or develop powerful processing infrastructures.
This special issue aims at reporting the state of the art, the research challenges and the available solutions and relevant activities in the design of architectures, algorithms and applications in the context of cloud computing and high performance processing of Big data.
Topics
The special issue intended to focus on the above issues and solicited papers that address theoretical and experimental work related to cloud computing and Big data. Papers are solicited from, but are not limited to, the following topics:
- Architectures for Big data/Cloud
- Cloud Architectures and Applications
- Cloud Security and Privacy
- Cloud Energy Efficiency
- Datacenter and Big data in the Cloud
- Mobile & Social Cloud, Cloud Solutions and Applications
- High-Performance Mining of Big data
- Machine learning algorithms for text analysis
- Opinion mining/sentiment analysis methods
- HPC and Cloud computing
- Cloud Brokering / Edge Computing
- IoT and Mobile on Cloud
- Cloud Energy Efficiency
- Security and Privacy in Cloud
Important dates
Abstract Submission: ------December 1st, 2017
Guest Editors Reply: ------December 15, 2017
Paper Submissions: ------Marsh 15, 2018
1st Notifications and Reviewers Comments: ------June 15, 2018
1st Revision Submission: ------August 15, 2018
2nd Notifications and Reviewers Comments: ------October 15, 2018
2nd Revision Submission: ------December 15, 2018
Final Notifications: ------December31, 2018
Accepted papers are expected to appear in the 2nd half of 2019.
Submissions guidelines
This special issue on“Cloud Computing and Big Data” is open for submissions, including extended high-quality papers presented atCloudTech’16 ( Authors of selected papers from CloudTech’17 conference will be invited to submit an extension version of their papers. Other high quality papers that fit the Special Issue topics are also welcome for submission. Papers will be subjected to a rigorous review process following reviewing rules of the journal. Submitted manuscripts must have at least 30% new content from previous and published papers.
Manuscripts must be prepared according to the following journal’s Author Guidelines: and submitted via the online submission at
Guest editors
Mostapha Zbakh
Mohammed Bakhouya.
Mohamed Essaaidi
Pierre Manneback