With the advances of information communication technologies, it is critical to improve the efficiency and accuracy of modern data processing techniques. The past decade has witnessed the tremendous technical advances in Sensor Networks, Internet/Web of Things, Cloud Computing, Mobile/Embedded Computing, Spatial/Temporal Data Processing, and Big Data, and these technologies have provided new opportunities and solutions to data processing techniques. Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions and web logs; and are of large size (Volume) with fast data in/out (Velocity). More importantly, big data has to be of high value (Value) and establish trust in it for business decision making (Veracity). Various technologies are being discussed to support the handling of big data such as massively parallel processing databases, scalable storage systems, cloud computing platforms, and MapReduce. Big data is more than simply a matter of size; it is an opportunity to find insights in new and emerging types of data and content, to make business more agile, and to answer questions that were previously considered beyond our reach. This special issue wants to demonstrate the emerging issues in the research of Big Data and approaches towards it. Original and research articles are solicited in all aspects including theoretical studies, practical applications, and experimental prototypes.
Cloud computing is positioning itself as an emerging platform for delivering information infrastructures and resources as IT services. Customers (enterprises or individuals) can provision and deploy Cloud services via pay-as-you-go pricing models saving huge capital investments in their own IT infrastructures. As estimated by IDC, by 2020, about 40% data globally would be touched with Cloud Computing. Cloud Computing provides strong storage, computation and distributed capability in support of Big Data processing.
All submitted papers will be peer-reviewed and selected on the basis of both their quality and their relevance to the theme of this special issue.
Potential topics include, but are not limited to:
- Big data novel theory, algorithm and applications
- Big data standards
- Big data mining and analytics
- Big data Infrastructure, MapReduce and Cloud Computing
- Big data visualization
- Big data semantics, scientific discovery and intelligence
- Big data performance analysis and large-scale deployment
- Security, privacy, trust, and legal issues to big data
- Big data placement, scheduling, and optimization
- Volume, velocity, variety, value and veracity of big data
- Storage and computation management of big data
- Large-scale big data workflow management
- Mobility and big data
- Sensor network, social network and big data
Submission instructions:
Before submitting your manuscript, please ensure you have carefully read the Instructions for Authors for Journal of Cloud Computing. The complete manuscript should be submitted through the Journal of Cloud Computing submission system: https://www.editorialmanager.com/clco. To ensure that you submit to the correct thematic series please select the appropriate section in the drop-down menu upon submission. In addition, indicate within your cover letter that you wish your manuscript to be considered as part of the Thematic Series on Big data research and development in cloud. All submissions will undergo rigorous peer review and accepted articles will be published within the journal as a collection.
Lead guest editor
Zheng Xu, Tsinghua University, Beijing, China
Guest editors
Yunhuai Liu, Hong Kong University of Science and Technology, Hong Kong
Neil Yen, Aizu University, Japan
Submissions will also benefit from the usual benefits of open access publication:
- Rapid publication: Online submission, electronic peer review and production make the process of publishing your article simple and efficient
- High visibility and international readership in your field: Open access publication ensures high visibility and maximum exposure for your work - anyone with online access can read your article
- No space constraints: Publishing online means unlimited space for figures, extensive data and video footage
- Authors retain copyright, licensing the article under a Creative Commons license: articles can be freely redistributed and reused as long as the article is correctly attributed
For editorial enquiries please contact editorial@journalofcloudcomputing.com
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