International Business Machines Corporation

Yusik Kim

Vinodh Venkatesan

Ilias Iliadis

Slavisa Sarafijanovic

Jens Jelitto

Mark Alfred Lantz

Giovanni Cherubini

Robert Beverley Basham

A computer-implemented method for managing a tiered storage system having an archive tier and an active storage tier comprises determining a workload for moving data between the active tier and the archive tier; and determining an assignment of data to be stored across the active tier and the archive tier, based on the determined workload.

Data archive tier of a tiered storage system

A computer-implemented method is provided for managing digital datasets stored on a multi-tiered storage system that includes several tiers of storage, the datasets likely to be accessed by one or more applications interacting with the storage system. The method includes monitoring an access history of datasets accessed by the one or more applications; and while monitoring the access history: computing probabilities of access, by the one or more applications, of the datasets stored on the storage system according to metadata associated to given datasets as identified in the monitored access history; and based on the computed probabilities of access, selecting one or more of the datasets to be moved across the tiers. Related storage systems and computer program products are also provided.

Managing digital datasets on a multi-tiered storage system based on predictive caching

An embodiment is directed to a method for determining an assignment of data to be stored on at least one storage tier i of a plurality of storage tiers of a tiered storage system. The method including, for the at least one storage tier i, steps of accessing storage device characteristics of the at least one storage tier i of the plurality; based on the accessed storage device characteristics, splitting the at least one storage tier i into Nstorage subtiers of the at least one storage tier i, the Nstorage subtiers having respective storage device characteristics; and based on characteristics of data to be stored on the tiered storage system and the respective storage device characteristics of the Nstorage subtiers, determining an assignment of data to be stored on each of the Nstorage subtiers. Embodiments are directed to related methods, systems and computer program products.

Subtier-level data assignment in a tiered storage system

A device and method for determining number of storage devices for each of plurality of storage tiers and assignment of data to be stored in the plurality of storage tiers. The device computes an optimized number of storage devices for each tier including a classifier, which receives units as input data to be stored in the system. Based on the characteristics of the storage devices, the device outputs a data-unit-to-storage tier assignment. An optimizer receives data-unit-to-storage tier assignment from the classifier and a cost budget for the system. Thereafter, an output for the number of storage devices for each storage tier is calculated. A method for determining number of storage devices for each of a plurality of storage tiers and assignment of data to be stored in the plurality of storage tiers are also provided.

Device and method for determining a number of storage devices for each of a plurality of storage tiers and an assignment of data to be stored in the plurality of storage tiers

Embodiments include methods for operating a first storage system having a first number of data storage drives for enabling access to a first set of removable media. Aspects include providing a second storage system having a number K of data storage drives for enabling access to a second set of removable media and providing a set of parameters describing operational characteristics of the second storage system. Aspects also include determining an analytical model using the set of parameters, the analytical model describing the variation of average waiting time as a function of system load over a predefined range covering multiple system load regime domains and determining values of the set of parameters using the analytical model and data of the second storage system. Aspects further include using the analytical model and the values of the set of parameters for reconfiguring the first storage system.

Method for dimensioning and reconfiguring of a storage system with removable media

A storage system is proposed which comprises a data storage device including a number N of removable storage media for storing data, with N&#x2267;2, and a number m of drives, with m&#x2267;1, wherein each of the m drives is configured to drive one of the removable storage media mounted to the drive. The storage system includes a server being coupled to the data storage device and configured to serve requests from clients, and a controller which is configured to control the data storage device to adaptively unmount the removable storage media based on a monitoring information of the requests at the data storage device, states of the drives, and states of the removable storage media.

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Zwolle, Netherlands

Yusik Kim