Special Issue on Science as a Service

Tentative Submissions due: 1 January 2016
Estimated Publication date: September/October 2016

Researchers are increasingly leveraging developments in cloud computing to deliver scientific software as a service. For example, cloud-hosted genomics analysis services running on public cloud computing resources allow researchers to perform large-scale analysis using a web browser, without having to become experts in the underlying computational techniques.

This science-as-a-service approach can have many potential advantages. First, it can accelerate the discovery process via a separation of concerns, with computational experts creating, managing, and improving services, and researchers using services for scientific discovery. Second, making scientific software available as a service can lower costs and pave the way for sustainability. Third, science services can allow users to share their analyses, discover what others have done, and provide infrastructure for reproducing results, reanalysis of data, backward tracking for the analysis of rare/interesting events, uncertainty analysis, and verification and validation of experiments. Finally, the approach lowers barriers to entry to large-scale analysis for theorists, students, and non-experts in HPC. It permits rapid hypothesis testing and exploration as well as being a valuable tool for teaching.

The goal of this special issue is to explore recent developments in, and further potential of, "Science as a Service." We invite scientists and engineers to submit original papers in this area. Areas of interest include, but are not limited to, descriptions of projects targeting specific disciplines (e.g., biology, materials, climate, cosmology) and cross-cutting technologies. We are particularly interesting in papers that document the impact of science-as-a-service approaches on the cost, speed, and effectiveness of research. Submissions will be selected by peer review.

Copublished by the IEEE Computer Society and the American Institute of Physics, Computing in Science & Engineering (CiSE) magazine features the latest computational science and engineering research in an accessible format, along with departments covering news and analysis, CSE in education, and emerging technologies.


Contact the guest editors, Ravi Madduri and Ian Foster at cise5-2016@computer.org.

Submission Guidelines

Authors are asked to submit high-quality original work that has neither appeared in nor is under consideration by other journals. All submissions will be peer-reviewed following standard journal practices. Manuscripts based on previously published conference papers must be extended substantially to include at least 50 percent new material. Manuscripts should be written in the active voice, should be no longer than 6,000 words (counting each standard figure and table as 250 words), and should follow the style and presentation guidelines of CiSE (see http://www.computer.org/web/peer-review/magazines for details).

Please submit your article using the online manuscript submission service at https://mc.manuscriptcentral.com/cs-ieee. When uploading your article, select the appropriate special-issue title under the category "Manuscript Type." Also include complete contact information for all authors. If you have any questions about submitting your article, contact the peer review coordinator at cise@computer.org.