FRINK Linked Data Fragments server

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• W2950059796 abstract "We describe a scalable database cluster for the spatial analysis and annotation of high-throughput brain imaging data, initially for 3-d electron microscopy image stacks, but for time-series and multi-channel data as well. The system was designed primarily for workloads that build connectomes---neural connectivity maps of the brain---using the parallel execution of computer vision algorithms on high-performance compute clusters. These services and open-science data sets are publicly available at this http URLThe system design inherits much from NoSQL scale-out and data-intensive computing architectures. We distribute data to cluster nodes by partitioning a spatial index. We direct I/O to different systems---reads to parallel disk arrays and writes to solid-state storage---to avoid I/O interference and maximize throughput. All programming interfaces are RESTful Web services, which are simple and stateless, improving scalability and usability. We include a performance evaluation of the production system, highlighting the effectiveness of spatial data organization." @default.
• W2950059796 created "2019-06-27" @default.
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• W2950059796 date "2013-06-15" @default.
• W2950059796 modified "2023-09-27" @default.
• W2950059796 title "The Open Connectome Project Data Cluster: Scalable Analysis and Vision for High-Throughput Neuroscience" @default.
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