Amidu Oloso

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Filesystems continue to be a major performance bottleneck for many applications across a variety of hardware architectures. Most existing attempts to address this issue, e.g., PVFS, rely upon system resources which are not typically tuned for any specific user application, whereas others rely on special hardware capabilities such as shared-memory.We have(More)
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(More)
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