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Quantum 3.5.1 manual StorNext User’s Guide 287

Models: 3.5.1

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Chapter 12 StorNext Reports

The Policy Class Information Report

•Truncate Immediately After Store: Indicates whether files truncate immediately after a store

•Checksum Validation: If enabled, checksums are compared to retained values for the files retrieved by the corresponding policy class

•Checksum Generation: If enabled, checksums are generated and retained in the database for files stored by the corresponding policy class

•Minimum Set Store Size (1 to 999 in MB or GB): The minimum size that all valid store candidates in the policy class combined must reach before they are stored

•Maximum File Store Age (1 to 720 in hours): If any valid store candidate in the policy class reaches this value, all valid candidates are stored

•Disk-to-Disk: Indicates whether the disk-to-disk functionality is enabled or disabled for the selected policy class

•Affinity From: If disk-to-disk is enabled, the name of the primary affinity where a file resides

•Affinity To: If disk-to-disk is enabled, the name of the secondary affinity to which the file relocates

•File Age Before Relocation: The age a file must reach before it becomes eligible for relocation

•Media Clean Pool: The class name with which the media is associated after it is logically blank

•Stub Files: Indicates whether the Stub File feature is enabled or disabled for the storage policy

•Stub File Size (KB): If the Stub File feature is enabled, this is the target stub file size specified when the storage policy was created or modified

•AutoStore: Indicates whether the Autostore feature is enabled or disabled. The Autostore option automatically stores files for the current policy class. If this feature is disabled, Quantum recommends that the files for the policy class be stored by scheduled events (see below).

•Retrieve to Affinity: If you enabled the Retrieve to Affinity feature when you created or modified the policy class, the affinity to which files are retrieved is shown.

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Quantum 3.5.1 manual StorNext User’s Guide 287
Page 308 Page 310

3.5.1 specifications

Quantum 3.5.1 is a cutting-edge platform that represents a significant advancement in quantum computing technology. As the latest iteration of Quantum's suite, it integrates several key features and enhancements that make it a powerful tool for researchers and developers alike. This version focuses on improved performance, scalability, and user accessibility, setting a new standard in the quantum computing landscape.

One of the standout features of Quantum 3.5.1 is its enhanced coherence time, which allows qubits to maintain their quantum states for more extended periods. This improvement is crucial for executing more complex algorithms and performing intricate computations that were previously unattainable. By utilizing advanced error-correcting codes and stabilization techniques, Quantum 3.5.1 reduces the likelihood of decoherence, ensuring more accurate and reliable results.

Another vital aspect of Quantum 3.5.1 is its robust integration capabilities. The platform is designed to seamlessly interact with classical computing systems and other quantum architectures. This interoperability is achieved through a flexible API that allows developers to incorporate quantum algorithms alongside classical algorithms. Additionally, Quantum 3.5.1 supports various programming languages, making it accessible to a broader range of developers.

The architecture of Quantum 3.5.1 is also notable for its increased qubit count. The expanded qubit array enables users to tackle larger and more complex problems, facilitating advancements in fields such as cryptography, optimization, and material science. The system employs superconducting qubits, which have shown significant potential in achieving high gate fidelity and scalability.

Moreover, Quantum 3.5.1 features an enhanced machine learning toolkit that enables users to leverage quantum algorithms for data analysis. This toolkit includes pre-built algorithms for classification, regression, and clustering, making it easier for data scientists to exploit quantum advantages without deep knowledge of quantum mechanics.

In terms of user experience, Quantum 3.5.1 introduces an intuitive dashboard that provides real-time monitoring and access to computational resources. This interface simplifies the process of running experiments and tracking results, allowing users to focus more on their research and less on navigating complex technical environments.

In conclusion, Quantum 3.5.1 stands as a pivotal platform in the evolution of quantum computing. With its increased coherence times, robust integration features, scalability through expanded qubit counts, advanced machine learning capabilities, and user-friendly interface, it provides a comprehensive solution for tackling the challenges and maximizing the potential of quantum technologies.