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Predictor of requested imagery and migration engine (PRIME)

机译:请求的图像和迁移引擎(Prime)的预测器

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Although emerging mass storage devices, including robotic tape libraries, optical jukeboxes, and redundant array of inexpensive disks (RAID) systems, enable large softcopy image archives, timely dissemination of any image from the archive is not possible with popular hierarchical storage techniques. Significant delays occur for images located on slower storage devices such as robotic tape libraries. We developed a prototype, predictor of requested imagery and migration engine (PRIME), to provide more timely dissemination. PRIME reduces analysts' wait time by predicting the image requests and migrating the most likely of these images from slower to faster archive devices before analysts make these requests. PRIME uses a fuzzy logic expert system both to make the prediction and to perform the migration. We describe the PRIME environment, including the prediction and migration issues, and a description of the prototype.
机译:虽然新兴大容量存储设备,包括机器人磁带库,光学自动困难和廉价磁盘(RAID)系统的冗余阵列,但是能够及时地传播来自存档的任何图像,不可于流行的分层存储技术。位于机器人磁带库等较慢的存储设备上的图像发生显着延迟。我们开发了一个原型,可被要求的图像和迁移引擎(Prime)的预测因子,以提供更及时的传播。 Prime通过预测图像请求并将这些图像迁移到更快到更快的归档设备,在分析师提出这些请求之前将这些图像迁移到更快的存档设备。 Prime使用模糊逻辑专家系统来进行预测并执行迁移。我们描述了主要环境,包括预测和迁移问题,以及原型的描述。

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