CFP: Spatial Cloud Computing (SCC) Special Issue to be published with International Journal of Digital Earth (IJDE)
Cloud computing is becoming the next generation IT solution for 1) saving budget, 2) conducting green computing, and 3) enabling science discovery and emergency responses. Besides the on demand elastic capabilities cloud computing can provide to support geospatial sciences, spatiotemporal principles of geospatial sciences could also help construct better cloud computing platforms. We employ the Spatial Cloud Computing (SCC) to capture the intrinsic relationships that: 1) cloud computing is being demonstrated as an infrastructure to meet computing needs of geospatial sciences including Earth, environmental, and geographic sciences, and 2) cloud computing should be best optimized by considering the spatiotemporal awareness of the dynamic distribution of computing resources (such as servers, network, and storage), end users, scientific or application problems, and data and processing modules. Pioneering projects are being conducted to investigate how geospatial applications can leverage cloud computing for ensuring reliability and scalability. For example, Microsoft is utilizing Azure Platform as a Service (PaaS) to support Earth, Environment, and Energy program within its research connection since 2009. US FGDC is conducting the GeoCloud Sandbox initiative with multiple agencies to develop common geospatial Platform as a Service (PaaS) solution since 2009. US NSF also invested in cloud initiatives by collaborating with Microsoft in 2010.
We are guest editing a SCC special issue for IJDE to capture the latest advancements and collect the cutting-edge research, development, education, and application of SCC. The special issue is especially interested in "how cloud computing enabled scientific research, application building, and educational activities with on demand and elastic computing" and "how spatiotemporal principles have been utilized in the enablement and optimization of cloud computing platforms".
- Topics include but are not limited to:
1. Education or vision of SCC
2. Cloud computing tools, methods, technologies, and applications
3. GeoCloud and related efforts
4. Cloud platform/cloud services, such as Amazon EC2, Microsoft Azure, and Google App Engine, related research and development
5. Examples of deploying geospatial applications onto Cloud platforms
6. Studies of how to ensure and utilize the capacity of spatial cloud computing
7. Communication and performance analysis of Cloud computing
8. Assessment of the types of problems amenable to spatial Cloud computing
9. Any other research, development, and education related to cloud computing
10. Implementation of Cloud Computing Platforms
11. Optimization of Cloud Computing Platforms
We invite extended 300-500 words abstract submissions, which will be reviewed by guest editors to select full paper submissions, of which accepted papers will be published in August, 2012 after the journal's peer review process.
- About the journal
IJDE is a new journal that made it to SCI-Expanded in its 18 months and received an SCI Impact Factor of 1.45 in 2010. IJDE is concerned with the science and technology of Digital Earth and its applications in all major disciplines. The journal has a wide range of interest, but the principal topics are: Digital Earth Framework, Applications, Architecture and Standards, Digital Earth and Earth Systems, Geoinformatics, Geo-spatial Science, Mobile Mapping Systems, Visualization and Numerical Simulation, Visible and Microwave Earth Observation, Data Fusion and Integration Algorithm, Data Mining and Artificial Intelligence, Data Processing, Earth System and Global Databases, Remote Sensing - GIS-GPS, Global Environmental Change and Discrete Global Grids. The journal contains primary research papers on basic science, techniques and applications, review articles, short technical notes and a section of technical Letters containing material that merits fast publication.
o July 25, 2011, abstract submission
o August 1, 2011, full paper submission invited
o November 30, 2011, full paper submission
o February 15, 2012, paper acceptance notification
o April 1, 2012, paper in final form
o August 2012, special issue published
- Inquiries are welcomed and may be addressed to any of the guest editors:
o Chaowei Yang (email@example.com), Joint Center for Intelligent Spatial Computing, College of Science, George Mason University, Fairfax, VA
o Yan Xu (firstname.lastname@example.org), Earth, Energy, and Environment at Microsoft Research, Microsoft, Redmond, WA
o Douglas D. Nebert (email@example.com), Federal Geographic Data Committee, Reston, VA, USA
- Recommended Readings:
- SCC definition and review paper:
1. Yang, C., Goodchild M., Huang Q., Nebert D., Raskin R., Xu Y., Bambacus M., Fay D., 2011a, Spatial Cloud Computing: How could geospatial sciences use and help to shape cloud computing, International Journal on Digital Earth. (in press)
- Review & Overview
2. Foster, I., Zhao, Y., Raicu, Y., Lu, S., 2008. Cloud Computing and Grid Computing 360-Degree Compared, In: Grid Computing Environments Workshop, GCE 2008. IEEE, Los Alamitos.
3. Yang, C., Raskin, R., Goodchild, M.F., and Gahegan, M., 2010, Geospatial Cyberinfrastructure: Past, Present and Future, Computers, Environment, and Urban Systems, 34(4):264-277.
- Spatiotemporal data modeling
4. M.F. Goodchild, M. Yuan, and T.J. Cova (2007) Towards a general theory of geographic representation in GIS. International Journal of Geographical Information Science 21(3): 239–260. (Open Access)
5. Rey, S. J., and M. V. Janikas. 2006. STARS: Space-Time Analysis of Regional Systems. Geographical Analysis, 38 (1): 67–86.
- Systematic research
6. Armbrust, M, Fox, A., Griffith R., Joseph A., Katz, R. and etc, 2009. Above the Cloud: A Berkeley View of Cloud Computing, Technical Report No. UCB/EECS-2009-28. (Open Access)
7. Wang S. and Armstrong M., 2009. A theoretical approach to the use of cyberinfrastructure in geographical analysis, International Journal of Geographical Information Science 23(2), 169 – 193. (Open Access)
8. Yang C., Wu H., Li Z., Huang Q., Li J., 2011, Spatial Computing: Utilizing Spatial Principles to Optimize Distributed Computing for Enabling Physical Science Discoveries, Proceedings of National Academy of Sciences, doi: 10.1073/pnas.0909315108. (Open Access) http://www.pnas.org/content/early/2011/03/21/0909315108.full.pdf
- Example applications
9. Wang, S., and Liu, Y. 2009. TeraGrid GIScience Gateway: Bridging Cyberinfrastructure and GIScience. International Journal of Geographical Information Science, 23 (5): 631-656.
10. Evangelinos C., Hill C., 2008. Cloud Computing for parallel Scientific HPC Applications: Feasibility of running Coupled Atmosphere-Ocean Climate Models on Amazon’s EC2, CCA-08 October 22–23, 2008.