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| Content Provider | ACM Digital Library |
|---|---|
| Author | Huang, Qunying Liu, Kai Wu, Huayi Nebert, Doug Yang, Chaowei |
| Abstract | To test the utilization of cloud computing for Geosciences applications, the GEOSS clearinghouse was deployed, maintained and tested on the Amazon Elastic Cloud Computing (EC2) platform. The GEOSS Clearinghouse is a web based Geographic Metadata Catalog System, which manages millions of the metadata of the spatially referenced resources for the Global Earth Observations (GEO). Our experiment reveals that the EC2 cloud computing platform facilitates geospatial applications in the aspects of a) scalability, b) reliability, and c) reducing duplicated efforts among Geosciences communities. Our test of massive data inquiry by concurrent user requests proves that different applications should be justified and optimized when deploying onto the EC2 platform for a better balance of cost and performance. |
| Starting Page | 35 |
| Ending Page | 38 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450304320 |
| DOI | 10.1145/1869692.1869699 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2010-11-02 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Cloud computing Amazon ec2 Geoss clearinghouse Virtualization |
| Content Type | Text |
| Resource Type | Article |
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