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 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 for 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 within a tolerable elapsed time. Such datasets are often from various sources (Variety) and unstructured, such as those from social media, sensors, scientific applications, surveillance, video and image archives, internet texts and documents, internet search indexing, medical records, business transactions and web logs. They are also of large size (Volume), with fast data in/out (Velocity). More importantly, big data has to be of high value (Value) and establish trustworthiness 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 into new and emerging types of data and content, to make businesses more agile, and to answer questions that were previously considered beyond our reach.
This special issue aims to present emerging issues in the research of big data and approaches towards it. Original research articles are solicited in all aspects including theoretical studies, practical applications and experimental prototypes. All submitted papers will be peer-reviewed and selected on the basis of both their quality and their relevance to the theme of the issue.
The issue will carry revised and substantially extended versions of selected papers presented at the 11th International Conference on Semantics, Knowledge & Grids (SKG2015), but we also strongly encourage researchers unable to participate in the conference to submit articles for this call.
Suitable topics include, but are not limited to, the following:
- Big data novel theory, algorithms and applications
- Big data standards
- Big data mining and analytics
- Big data infrastructure, MapReduce and cloud computing
- Big data visualisation
- Big data semantics, scientific discovery and intelligence
- Big data performance analysis and large-scale deployment
- Security, privacy, trust and legal issues in big data
- Big data placement, scheduling and optimisation
- 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 networks, social networks and big data
Submission of manuscripts: 15 August, 2015