Scientific Programming (Hindawi, JCR:0.559) has just announced the call for papers for a Special Issue on cloud-based simulations and data analysis in which I’m participating as Guest Editor together with Dr. Fabrizio Messina (University of Catania, Catania, Italy) and Dr. Lars Braubach (Nordakademie, Elmshorn, Germany).
In many areas, including commercial as well as scientific fields, the generation and storage of large amounts of data have become essential. Manufacturing and engineering companies use cloud-based high-performance computing technologies and simulation techniques to model, simulate, and predict behavior of complicated models, involving the preliminary analysis of existing data as well the generation of data during the simulations. Having large amounts of data the following question arises, how can it be efficiently processed? Cloud computing holds the promise of providing elastic computational resources thereby adapting towards the concrete application needs and thus is a promising base technology for such processing techniques. But, cloud computing itself is not the complete solution and in order to exploit its underlying power novel algorithms and techniques have to be conceived.
In this special issue we invite original contributions providing novel ideas towards simulation and data processing in the context of cloud computing approaches. The aim of this special issue is to assemble visions, ideas, experiences, and research achievements in these areas.
Potential topics include, but are not limited to:
- Techniques for cloud-based simulations
- Computational Intelligence for cloud-based simulations
- Service composition for cloud-based simulations
- Computational Intelligence for data analysis
- Software architectures for cloud-based simulations
- Cloud-based data mining
- Big data analytics for predictive modeling
Authors can submit their manuscripts via the Manuscript Tracking System at http://mts.hindawi.com/submit/journals/sp/csda/.
Manuscript Due: Friday, 29 April 2016
First Round of Reviews: Friday, 22 July 2016
Publication Date: Friday, 16 September 2016