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    A New Adaptive Namespace Administration For Ultra Big Storage Systems

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    We propose a close real-time and cost-effective semantic questions based approach, called FAST. The thought behind FAST is to investigate and abuse the semantic connection inside and among datasets by means of relationship mindful hashing and reasonable level organized tending to essentially lessen the preparing dormancy, while bringing about acceptably little loss of information look exactness. The close continuous property of FASTenables quick ID of associated records and the critical narrowing of the extent of information to be prepared. FASTsupports a few sorts of information examination, which can be actualized in existing accessible stockpiling frameworks. We lead a true utilize case in which kids detailed missing in a to a great degree swarmed condition (e.g., an exceedingly famous beautiful spot on a pinnacle visitor day) are distinguished in an opportune mold by examining 60 million pictures utilizing FAST
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