PREEMPTIVE EXTRACTION OF DATA FROM LONG LATENCY STORAGE IN A CLOUD COMPUTING ENVIRONMENT
First Claim
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1. An apparatus comprising:
- a long latency storage and low latency storage for storing customer data;
at least one processor;
a memory coupled to the at least one processor; and
a resource utilization mechanism (RUM) residing in the memory and executed by the at least one processor, wherein the RUM preemptively extracts data from long latency storage and places the preemptively extracted data in low latency storage to provide infrequently accessed data to a customer application before it is requested by the customer application.
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Abstract
A resource utilization mechanism (RUM) preemptively extracts data from long latency storage in a cloud computing environment to economically and quickly provide data that is infrequently accessed by customers. The RUM identifies periods of low resource utilization where capacity can be efficiently utilized, identifies data to be retrieved, and retrieves the data from long latency storage to make it available to the customer. The RUM may notify a customer that the data is available and allow the customer to accept terms of use for the data or opt out of using the data.
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9 Claims
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1. An apparatus comprising:
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a long latency storage and low latency storage for storing customer data; at least one processor; a memory coupled to the at least one processor; and a resource utilization mechanism (RUM) residing in the memory and executed by the at least one processor, wherein the RUM preemptively extracts data from long latency storage and places the preemptively extracted data in low latency storage to provide infrequently accessed data to a customer application before it is requested by the customer application. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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Specification