SCPE 2014 : Volume 15, Issue 4: Special Issue on CLOUD for Health

Страна: Румыния

Город: Craiova

Тезисы до: 31.08.2014

Даты: 31.08.14 — 31.08.14

Е-мейл Оргкомитета:

Организаторы: Scalable Computing: Practice and Experience


n the last 20 years, computational methods and data analysis have become very important part in health systems; especially, in research areas such as biomodelling, genomics, neuroscience, cancer models, medical image analysis, biotechnology, or automatic diagnosis. The development of those areas leads to an unprecedented demand for large-scale data management and analysis (Tbytes or Pbytes) and scalability in computing power.

This new situation requires appropriate IT-infrastructures, where new biomedical challenges can be solved within an acceptable timespan. Cloud computing has the potential to help solving those problems by offering a utility model based on highly flexible computing and storage capabilities and abstraction layers that allow overcoming many of the constraints present in dedicated systems. It may also increase research productivity by allowing sharing applications, tools, and algorithms in an easy way, by increasing the availability of new methods for the research community, and by supporting large-scale multi-centric collaborations.

The aim of this special issue is to promote synergies between cloud computing and health communities by exploring applications developed in clouds, cloud systems enhancements for bio*, and new trends and needs shared between both communities.

Thus, this special issue will feature articles that discuss applications of cloud computing to bioinformatics and biomedicine, including solutions to the problems in the area, and architectural adaptation of cloud systems to fit those problems. The goals are to exchange and discuss existing solutions and latest developments in both fields, and to gather an overview of challenges (technologies, achievements, gaps, roadblocks).


Areas of interest for this special issue include, but are not limited to:
- Cloud-based bioinformatics and biomedicine applications
- Cloud-based applications in public health systems
- Modeling and simulation of complex biological processes
- Genomics and Molecular Structure evolution
- Clouds for big data manipulation in bioinformatics and biomedicine
- Visualization and analysis of biomedical images
- Integration and analysis of biomedical data
- Interoperability for exchanging data, algorithms and analysis workflows
- Biosignals processing using clouds
- Privacy and security issues for cloud-based health applications
- Data-centric versus computer-centric cloud architectures
- Virtual HPC infrastructures for Health
- Hybrid infrastructures (cloud/physics) for bio applications
- Improved energy consumption of bio applications using clouds
- Programming paradigms and tools for bio-applications

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