Kyndryl, Inc.

International Business Machines Corporation

Gavin Charles O'Reilly

Clea Anne Zolotow

Tedrick Neal Northway

Stephen Robert Guendert

Marci Devorah Formato

John Valentine Delaney

Anthony M Hunt

Laxmikantha Sai Nanduru

Andrew Paul Barnes

Anil Kumar Narigapalli

Jørgen Egbert Floes

Mihai Criveti

Venkateswarlu Basyam

Susheel Gooly

Ana Maria Bezerra Maimoni

Jack Louis Cherkas

Clea Zolotow

Derek Lacey

Methods and systems include managing bandwidth in Fibre Channel over Internet Protocol (FCIP) communication channels. A method includes monitoring traffic demand at an FCIP communication channel and, in response to an anticipated period of throughput demand on the FCIP communication channel, reallocating physical throughput bandwidth of the FCIP communication channel by configuring bandwidth of one or more tunnels of the FCIP communication channel.

Managing bandwidth in fibre channel over internet protocol communication channels

Managing bandwith in fibre channel over internet protocol communication channels

Computer implemented systems and methods for migrating datacenter data include providing a quantity of carriers having a data storage capacity, receiving, by the quantity of carriers, a quantity of data stored in a first data storage system having a first location and including erasure coded data blocks. The quantity of carriers migrates to a second data storage system having a second location; and transmits the quantity of data to the second data storage system.

Datacenter relocation utilizing storage carriers and erasure coding

A computer directs activity within a computer storage subsystem. The computer identifies a computer operating environment including a computer, and a storage subsystem connected to a group of storage devices. The compute receives metadata representing current and historic performance metrics of said computer operating environment. The computer identifies a first device associated with a first behavior profile governed by a power law distribution, and a second device associated with a second behavior profile governed by a normal distribution. The computer trains Machine Learning (ML) models based on the behavior profiles. The computer establishes Device Performance Rules based on the ML models. The computer forecasts time-based storage system requirements based, at least in part on the Device Performance Rules. The computer prefetches data to a cache component based, at least in part on said forecasted system requirements, in accordance with a time reference available to said computer.

Analytics-driven direction for computer storage subsystem device behavior

A method, system and computer program product for data backup based on a workload behavior includes a first computer identifying, using machine learning tools, data associated with frequently accessed files on the first computer by a workload being processed by a second computer. The first computer processes the identified data associated with the frequently accessed files to generate a list of frequently accessed files by the workload, and compares the list of frequently accessed files to backup policy rules active on the first computer. Based on the comparison, the first computer identifies a mismatch between the list of frequently accessed files and the backup policy rules, and specifies a new backup rule to update the backup policy rules for each identified mismatch between the list of frequently accessed files and the backup policy rules.

Cognitive data backup

A method includes creating a digital twin that represents a computing infrastructure, the digital twin representing all microcode versions present in components in the computing infrastructure. The method further includes creating a database of a plurality of upgrades including at least one microcode version update and a corresponding criticality of each of the plurality of updates and emulating a first deployment of a first set of one or more of the plurality of updates with the digital twin.

Cognitive microcode simulation, planning, and risk assessment

A method, apparatus, system, and computer program product for managing a storage system. Data associated with a set of tags is identified by a computer system using a policy, wherein the policy defines the set of tags for a set of types of data used in a process performed in an organization using data in the storage system. A set of storage tiers for the data associated with the set of tags is determined by the computer system using the policy. The policy defines the set of storage tiers for the data associated with the set of tags when the data associated with the set of tags is used by the process. The data associated with the set of tags is moved by the computer system to the set of storage tiers as determined using the policy.

Data management system for storage tiers

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Kilcoole, Ireland

Gavin Charles O'Reilly