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A Mobile Agent-Based Architecture for On-Demand Processing of Remote-Sensing Archive
| Content Provider | Semantic Scholar |
|---|---|
| Author | Yang, Yanyan Rana, Omer Farooq Yang, Lin |
| Copyright Year | 2004 |
| Abstract | appears to be promising due to the following reasons: Remote-sensing data about the Earth 5 environment is being created at an everincreasing rate and distributed among heterogeneous remote sites. Traditional models of distributed computing are inadequate to support such complex applications, which generally involve a large quantity of data. In this paper; we describe a mobile agent-based architecture for analyzing and nianagirig data for the Synthetic Aperture Radar Atlas (SARA) remote-sensing library. A scalable and flexible architecture based on mobile agents is presented. SARA is a digital library of multi-spectral remote-sensing imagery of the Earth. We show how to efficiently support on-demand processing of such a remotesensing archive, using a combination of mobility and parallel computing techniques. Our architecture can support a large number of agents, where agents perform specialized roles. |
| File Format | PDF HTM / HTML |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Agent-based model Archive Autonomous robot Computation (action) Digital library Distributed computing Genetic Heterogeneity Mobile agent Numerous Parallel computing Robustness (computer science) Scalability Software agent |
| Content Type | Text |
| Resource Type | Article |
