Intelligent tiers of backup data

Abstract

The claimed subject matter relates to systems and / or methodologies that facilitate intelligent distribution of backup information across storage locations in network-based backup architectures. A virtual layering of backup information across storage locations in the backup architecture can be implemented. Statistical models are utilized to dynamically re-allocate backup information among storage locations and / or layers to ensure availability of data, minimum latency upon restore, and minimum bandwidth utilization upon restore. In addition, heuristics or machine learning techniques can be applied to proactively detect failures or other changes in storage locations such that backup information can be reallocated accordingly prior to a failure.

Description

Background technique [0001] As computing devices become more pervasive and widely used by the general population, the amount of data generated and used by such devices grows rapidly. For example, recent advances in computing and data storage technologies enable even the most limited form factor devices to store and process large amounts of information for a variety of data-intensive applications, such as document editing, media processing, and the like. Further, recent advances in communication technology may allow computing devices to communicate data at high rates. These advances have led, among other technologies, to the realization of distributed computing services that can, for example, be performed using computing devices located at multiple locations on a network. Additionally, these advancements allow for services such as network-based backups that allow computing device users to maintain one or more backup copies of data associated with the computing device at a remo...

AI Technical Summary

Problems solved by technology

But in such examples, usually a large amount of data is transferred on the network, thereby consuming expensive bandwidth

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