System, method and computer program product for evaluating a...

Data processing: artificial intelligence – Machine learning

Reexamination Certificate

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Reexamination Certificate

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07899763

ABSTRACT:
A method for generating a storage policy, the method includes: receiving a storage system target function; and generating, by a machine learning entity, the storage policy in response to: (a) a set of file-related storage operation requests, (b) a state of the storage system before responding to the set of file-related storage operation requests, and (c) the storage system target function. A method for evaluating a storage policy, the method includes: simulating an application of the storage policy by the storage system during a first period, in response to a set of file-related storage operation requests that was provided to the storage system during the first period, to provide a simulation result; wherein the first period starts before the simulating.

REFERENCES:
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patent: 2006/0224852 (2006-10-01), Kottomtharayil et al.
Vengerov “Dynamic Tuning of Online Data Migration Policies in Hierarchical Storage Systems using Reinforcement Learning”, SMLI TR-2006-157 Jun. 2006.
CA File System Manager: Intelligent Information Management for File System Data, Jun. 2006, pp. 1-9.
H.A. Bahr et al. “Smart priority queue algorithms for self-optimizing event storage”, Simulation Modelling Practice and Theory, vol. 12, Issue 1 , Apr. 2004, pp. 15-40.
Kyungbaek Kim, et al. “Efficient Resource Management for the P2P Web Caching”, aict-sapir-elete, pp. 382-387, Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop (AICT/SAPIR/ELETE'05), 2005.

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