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With the development of virtualization, a significant technology used in cloud computing, a new kind of remote sensing data processing platform based on virtualization has been formulating. In order to find out how virtual machines will influence the performance of remote sensing data processing platforms, KVM, VMware and Xen are tested as the instances of virtual machines by the drought model algorithm...
Spatial data processing requires large scale calculation and parallel processing is necessary for accelerating. Popular parallel frameworks need lots of code development for parallelization, which are difficult for geo-scientists who are often beginners in programming. In this paper, an easy-to-use parallel processing framework is proposed and named SDPPF — Spatial Data Parallel Processing Framework...
Because the complexity of grid architecture and programming interface, it is difficult for beginners to develop new applications in spatial information grid (shortly SIG). This holds SIG back from infrastructure of geo-computation. To make the application development simpler, a situation driven application generation model is proposed in this paper. First, situation is introduced to describe application...
Although many projects, especially grid workflow projects, are trying to make grid application development easier and quicker, the process-based application description model adopted by most of the grid-enabled applications still bothers scientists who are the main users of grid and usually beginner in programming. In this paper, a data dependency based application description model, which describes...
Although there are many works trying to make it easier and quicker, the difficulty of grid-enabled application development is still one of the stumbling blocks to employ grid as infrastructure of geo-computation. In this paper, situation is introduced to describe application requirements and available resources for users first. Based on the study on definition, acquirement, processing and matching...
The difficulty of grid-enabled application development is one of the obstacles to employ grid as infrastructure of scientific computing. Although there are many projects, especially grid workflow projects, trying to make grid-enabled application development easier and quicker, the process-based application description model adopted by most of the grid-enabled applications still bothers scientists...
The development of geo-computation drives spatial data infrastructure to the next generation, which should be intelligent, un-separated, and on-demand. On-demand service is one of the most important parts in the next generation spatial data infrastructure; it makes it possible to customize data supplies. In this paper, architecture of on-demand service is proposed. In this architecture, user or client...
Spatial information data grid is powerful for distributed data sharing and collaborating. But the difference among meta-data produced by space agencies around the world makes it difficult to re-organize data and share them when enabling spatial information data grid. In this paper, a way named meta-data adapter is proposed, which can interpreter original meta-data with different syntax and semantic...
In spatial information data grid, the difference among metadata makes it difficult to re-organize data and share them. In this paper, a way named metadata adapter is proposed, to interpreter original metadata with different syntax and semantic rules to required metadata so that they can be organized as a distributed, heterogeneous, inherent features based, and one-stop served virtual remote sensing...
Data grid is powerful for distributed data sharing and collaborating, which is very important for the spatial information applications. But the difference among meta-data produced by space agencies around the world makes it difficult to re-organize data and share them. In this paper, a way named meta-data adapter is proposed, which can interpreter original meta-data with different syntax and semantic...
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