Grid Computing for Earth Science
نویسندگان
چکیده
منابع مشابه
e-Collaboration and Grid-on-Demand Computing for Earth Science at ESA
The Grid and emerging e-collaboration computing services are considered as powerful new instruments, enabling and strengthening remote collaboration among researchers. For example, a Gridbased infrastructure can permit alternative approaches to access and exploit large data sets. Instead of traditional remote sensing data ordering and delivering from the acquisition/storage facilities to the us...
متن کاملGrid Technology as a Cyberinfrastructure for Earth Science Applications
This paper describes how grids and grid service technologies can be used to develop an infrastructure for the Earth Science community. This cyberinfrastructure would be populated with a hierarchy of services, including discipline specific services such those needed by the Earth Science community as well as a set of core services that are needed by most applications. This core would include data...
متن کاملA roadmap for a dedicated Earth Science Grid platform
Due to its intensive data processing and highly distributed organization, the multidisciplinary Earth Science applications community is uniquely positioned for the uptake and exploitation of Grid technologies. Currently Enabling Grids for E-sciencE, and other large Grid infrastructures are already deployed and capable of operational services. So far however, the adoption and exploitation of Gri...
متن کاملGrid Computing and Qualitative Social Science
Qualitative research is increasingly important in policy-related and applied work, as well as in academic work. Grid and high-performance computing (HPC) technologies promise significant potential returns for qualitative researchers. Tagged cyber-research in the United States and e-social science in the United Kingdom (and e-research in general), the application of HPC technologies can enhance ...
متن کاملEarth science test suites to evaluate grid tools and middleware - examples for grid data access tools
The Earth Science (ES) community has three major IT related concerns: Modeling (computing intensive), exploitation of datasets, and production of large shared datasets. All could be accomplishable using Grid. Different Grid middleware solutions exist and are being developed. In DEGREE (Dissemination and Exploitation of Grids in Earth sciencE) the aim was to disseminate and promote uptake of Gri...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Eos, Transactions American Geophysical Union
سال: 2009
ISSN: 0096-3941
DOI: 10.1029/2009eo140002