SciDB Examples from Environmental Observation and Modeling
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چکیده
منابع مشابه
An Array Database Approach for Earth Observation Data Management and Processing
Over the past few years, Earth Observation (EO) has been continuously generating much spatiotemporal data that serves for societies in resource surveillance, environment protection, and disaster prediction. The proliferation of EO data poses great challenges in current approaches for data management and processing. Nowadays, the Array Database technologies show great promise in managing and pro...
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In CIDR 2009, we presented a collection of requirements for SciDB, a DBMS that would meet the needs of scientific users. These included a nested-array data model, sciencespecific operations such as regrid, and support for uncertainty, lineage, and named versions. In this paper, we present an overview of SciDB’s key features and outline a demonstration of the first version of SciDB on data and o...
متن کاملD4M and Large Array Databases for Management and Analysis of Large Biomedical Imaging Data
Advances in medical imaging technologies have enabled the acquisition of increasingly large datasets. Current state-of-the-art confocal or multi-photon imaging technology can produce biomedical datasets in excess of 1 TB per dataset. Typical approaches for analyzing large datasets rely on downsampling the original datasets or leveraging distributed computing resources where small subsets of ima...
متن کاملPerformance Comparison of Big-Data Technologies in Locating Intersections in Satellite Ground Tracks
The performance and ease of extensibility for two Big-Data technologies, SciDB and Hadoop/MapReduce (HD/MR), are evaluated on identical hardware for an Earth science use case of locating intersections between two NASA remote sensing satellites’ ground tracks. SciDB is found to be 1.5 to 2.5 times faster than HD/MR. The performance of HD/MR approaches that of SciDB as the data size or the cluste...
متن کاملEvaluation of SciDB for Image and Video Processing Tasks
In this report, we evaluate the use of SciDB, an array database, for image processing workloads. We explore the representation of images in SciDB, select four specific image-processing tasks to implement in SciDB, and evaluated them on an AWS cluster using a dataset of a 1000 high-resolution images. Even with a simple and non-optimized MPI baseline, we find SciDB to be an order of magnitude slo...
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تاریخ انتشار 2008