Call for papers: "Advances in Big Data Processing via Convergence of Emerging Techniques"

For a special issue of the International Journal of High Performance Computing and Networking.

Today data comes from everywhere, for example from individual archives, lab experiments, simulations, sensors, etc., with all kinds of scales and formats. This phenomenon reveals that we are now in the midst of the “big data” revolution, and are driven to process, manage, analyse and understand the data. This process is often in real-time.

In synergy with moving towards a data-driven world, we also face a critical change in the way hardware systems, such as massive multi-core processing systems, very large main memory systems, fast networking components, big computing clusters and large data centres, are evolving. Such rapid expansion is accelerated by the dramatic increase in acceptance of social media and networking applications.

Furthermore, it can be foreseen that Internet of things (IoT) applications will raise the scale of data to an unprecedented level. People and devices, from coffee machines to cars, to buses, railway stations and airports, are all loosely connected but tightly related. Trillions of such connected components will generate a huge data ocean, and valuable information must be discovered from the data to help improve quality of life and make our world a better place.

Thus the concept of convergence, which refers to a potential integration of heterogeneous approaches, techniques and considerations from interdisciplinary fields, plays a key role in the coming era. It is envisioned to increase the ability to sense data, learn and reason from data, enhance adaptability to various unpredictable changes, and improve experiences. Despite a wide body of research efforts, how convergence can be achieved remains a challenging issue.

This special issue calls for high quality and state-of-the-art research and results concerning emerging solutions for the growing amount of data (or Big Data). In particular, the special issue aims to showcase the most recent achievements and developments in the realm of big data processing and its associated techniques. Original and research articles of all types are solicited, including theoretical studies, practical applications, new communication technology 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 this issue.

The issue will carry revised and substantially extended versions of selected papers presented at the 2012 International Conference on Active Media Technology (4-7 December 2012, Macau), 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:

• Interoperability issues regarding data sharing, management and analysis
• New computing architecture for data processing
• New methods for data processing and visualisation
• New programming models for large data
• Data filtering techniques for internet of things
• Big data mining using cloud computing
• Big data applications in social science, climate science, earth science and other science domains
• Large-scale analytical methodologies and algorithms
• Mobile cloud data management and resource sharing
• Scalable and distributed algorithms
• Efficient big data processing techniques towards energy harvesting, storage and recycling
• System issues related to large datasets
• Other applications and practices

Important Dates
Paper submission: 1 August, 2013 (extended)
1st round review notification: 1 October, 2013
1st revision due: 1 November, 2013
2nd round review notification: 20 Novemeber, 2013