Virtual Laboratory for Collaborative Applications-Reference-Cited by-同舟云学术

Virtual Laboratory for Collaborative Applications

Published:2009 Issue: Volume: Page:531-551
ISSN:
Container-title:Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare
language:
Short-container-title:

Author:

Bubak Marian¹,Malawski Maciej²,Gubala Tomasz³,Kasztelnik Marek³,Nowakowski Piotr³,Harezlak Daniel³

Affiliation:

1. University of Amsterdam, The Netherlands and ACC CYFRONET AGH, Poland

2. Institute of Computer Science AGH, Poland

3. ACC CYFRONET AGH, Poland

Abstract

Advanced research in life sciences calls for new information technology solutions to support complex, collaborative computer simulations and result analysis. This chapter presents the ViroLab virtual laboratory, which is an integrated system of dedicated tools and services, providing a common space for planning, building, improving and performing in-silico experiments by different groups of users. Within the virtual laboratory collaborative applications are built as experiment plans, using a notation based on the Ruby scripting language. During experiment execution, provenance data is created and stored. The virtual laboratory enables access to distributed, heterogeneous data resources, computational resources in Grid systems, clusters and standalone computers. The process of application development as well as the architecture and functionality of the virtual laboratory are demonstrated using a real-life example from the HIV treatment domain.

Publisher

IGI Global

Reference20 articles.

1. Special section: Life science grids for biomedicine and bioinformatics

2. Accelerating the scientific exploration process with scientific workflows

3. Assel, M., & Kalyoncu, O. (2008). Dynamic Access Control Management for Distributed Biomedical Data Resources. In Cunningham, P. & Cunningham, M. (Eds.), Collaboration and the Knowledge Economy: Issues, Applications, Case Studies (pp. 1593-1599). IOS Press.

4. Balis, B., Bubak, M., & Wach, J. (2007) User-Oriented Querying over Repositories of Data and Provenance. In G. Fox, K. Chiu, & R. Buyya, (Eds.), Third IEEE International Conference on e-Science and Grid Computing, e-Science 2007, Bangalore, India, 10-13 December 2007, (pp.77-84). New York: IEEE Computer Society.

5. Bubak, M., Gubala, T., Kasztelnik, M., Malawski, M., Nowakowski, P., & Sloot, P. M. A. (2007). Collaborative virtual laboratory for e-health. In Expanding the Knowledge Economy: Issues, Applications, Case Studies, eChallenges e-2007 Conference Proceedings (pp. 537-544). Amsterdam, the Netherlands: IOS Press.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Component-based approach for programming and running scientific applications on grids and clouds;The International Journal of High Performance Computing Applications;2011-10-18

2. Flood early warning system: design, implementation and computational modules;Procedia Computer Science;2011

3. Perspectives on grid computing;Future Generation Computer Systems;2010-10