Cloud computing for Earth observation

Data Intensive Storage Services for Cloud Environments

Volumn , Issue , 2013, Pages 166-191

  Cossu, Roberto ^a   Di Giulio, Claudio ^a   Brito, Fabrice ^b   Petcu, Dana ^c,d  

^a European Space Agency ESRIN   (Italy)

^b Terradue ^*  (Italy)

^c Institute e Austria   (Austria)

^d WEST UNIVERSITY OF TIMISOARA   (Romania)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84898288790     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-4666-3934-8.ch012     Document Type: Chapter

References (11)

1. Cossu, R., Pacini, F., Goncalves, P., & Fusco, L. (2010). Data and computing intensive applications in GENESI-DR. In Proceedings of EGU General Assembly Conference (p. 14169). EGU.
2. Di Martino, B., Petcu, D., Cossu, R., Goncalves, P., Gulyas, L., & Loichate, M. (2011). Building a mosaic of Clouds. Lecture Notes in Computer Science, 6586, 529-536. doi:10.1007/978-3-642-21878-1_70.
3. Fusco, L., Cossu, R., & Retscher, C. (2008). Open grid services for Envisat and earth observation applications. In Plaza, A., & Chang, C. (Eds.), High Performance Computing in Remote Sensing (pp. 237-280). London: Chapman & Hall.
4. Golpayegani, N., & Halem, M. (2009). Cloud computing for satellite data processing on high end compute clusters. In Proceedings of the IEEE International Conference on Cloud Computing (pp. 88-92). IEEE.
5. Li, J., Agarwal, D., Humphrey, M., van Ingen, C., Jackson, K., & Ryu, Y. (2010). eScience in the cloud: A MODIS satellite data reprojection and reduction pipeline in the Windows Azure platform. In Proceedings of the 2010 IEEE International Symposium on Parallel & Distributed Processing (pp. 1-10). IEEE.
6. Markatchev, N., Curry, R., Kiddle, C., Mirtchovski, A., Simmonds, R., & Tan, T. (2009). A cloud-based interactive application service. In Proceedings of the Fifth IEEE International Conference on e-Science (pp. 102-109). IEEE.
7. mOSAIC Consortium. (2011a). D3.1: Cloud usage patterns. Retrieved from www.mosaic-cloud.eu
8. mOSAIC Consortium. (2011b). D3.2 platform use cases. Retrieved from www.mosaic-cloud.eu
9. Panica, S., Neagul, M., Craciun, C., & Petcu, D. (2011). Serving legacy distributed applications by a self-configuring cloud processing platform. In Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (pp. 139-145). IEEE.
10. Petcu, D., Panica, S., & Neagul, M. (2011). From grid computing towards sky computing: Case study for earth observation. In Proceedings of the Cracow Grid Workshop 2010 (pp. 11-20). Cracow.
11. Wang, Y., Wang, S., & Zhou, D. (2009). Retrieving and indexing spatial data in the cloud computing environment. Lecture Notes in Computer Science, 5931, 322-331. doi:10.1007/978-3-642-10665-1_29.