International Business Machines Corporation

Deepak R Ghuge

Sandeep R Patil

Sasikanth Eda

Manojkiran Eda

Riyazahamad Moulasab Shiraguppi

Abhishek Jain

Pradipta Kumar Banerjee

Kaustubh I Katruwar

Gandhi Sivakumar

Yu-Cheng Hsu

Renu Tewari

Lawrence Carter Blount

Ashish Pandey

Subhojit Roy

John Gerard Musial

Sachin Chandrakant Punadikar

Shah Mohammad R Islam

Eda Sasikanth

Sridhar Puvvala

Dilipkumar S Jha

Sarbajit Kumar Rakshit

Matthew B Trevathan

Sri Ramanathan

John Thomas Olson

Duane Mark Baldwin

Sridhar R Muppidi

Shah Mohammad Rezaul Islam

Bhushan Pradip Jain

Poornima Gupte

Huzefa Pancha

Rajan Dilavar Mithani

Sukumar Vankadhara

Sanjay K Sudam

Sandeep Naik

Anil Laxman Palled

Chetan R Kulkarni

Brijesh Chougule

A computer-implemented method, according to one approach, includes: monitoring actions of a user having access to a cluster, and in response to determining that the user has performed a risk event, incrementing a risk score assigned to the user. A determination is also made as to whether the incremented risk score is outside a predetermined range, and in response to determining that the incremented risk score is outside the predetermined range, a snapshot quota assigned to the user is dynamically reduced.

Dynamically throttling snapshot capture rates

A computer-implemented method according to one embodiment includes compiling log data from all nodes of a cluster, retrieving a timestamp table stored within the cluster, optimizing the timestamp table, and adjusting the log data from all the nodes of a cluster, utilizing the timestamp table.

Synchronizing log data within a cluster

An efficient cloning mechanism is provided for a distributed storage environment, where, for example, a private cloud computing environment and a public cloud computing environment are included in a hybrid cloud computing environment (on-premise object storage to off-premise computation resources), to improve computation workloads. The disclosed algorithm forms an efficient cloning mechanism in a hybrid storage environment where the read/write speed of data from the disk is not limited by its angular velocity.

Clone efficiency in a hybrid storage cloud environment

A computer-implemented method according to one embodiment includes analyzing an image stored on a device. In response to determining that a storage consumption of the device is greater than a first predetermined threshold, content of the image that is both non-focused and that is not of interest is selectively compressed. In response to determining that the storage consumption subsequent to selectively compressing content of the image that is both non-focused and that is not of interest, is greater than a second predetermined threshold, content of the image that is both focused and that is not of interest is selectively compressed. In response to determining that the storage consumption subsequent to selectively compressing content of the image that is both focused and that is not of interest, is greater than the second predetermined threshold, content of the image that is both focused and that is of interest is selectively compressed.

Selective image compression of an image stored on a device based on user preferences

A method, computer system, and a computer program product for interest-based digital content caching is provided. Hints regarding content of interest associated with a user are determined and used to identify portions of streaming media that are uninteresting to the user. Then the streaming media is played for the user and a portion of the post-uninteresting content is stored in a child cache before the portion of uninterest is played.

Dynamic streaming content buffering based on user interest

Embodiments for medical condition communication management by one or more processors. A maturity score and medical condition acceptance score relating to a medical condition of a user may be estimated according to data collected from one or more devices associated with the user. The maturity score may represent a measure of an emotional state, age, and cognitive reasoning ability. The medical condition acceptance score may represent a measure of understanding and acceptance capability of the medical condition. One or more search results responsive to a search query related to the medical condition submitted by the user may be adjusted according to the maturity score, the medical condition acceptance score, and an appropriateness of communications for the one or more search results based on a plurality of identified contextual factors.

Medical condition communication management

A computer-implemented system and method for assigning security profiles comprises receiving bounded region information that is located within a defined region associated with a user from an augmented reality device (ARD) associated with the user. A bounded region is created from the bounded region information. A first set of selectable entities, such as subjects for whom the security profile is being applied and/or secure elements, such as cabinets, doors, or computer resources, are selected as those being within the bounded region information. A security profile to the first set of selectable entities is then applied relative to a second set of selectable entities.

Field of view movement variation-based security profile assignment to physical assets at a location

A computer-implemented method according to one embodiment includes identifying virtualization unit metadata for each of a plurality of nodes, the virtualization unit metadata including one or more guidelines for an application that is implemented by a virtualization unit, where the one or more guidelines include one or more benefits of a virtualization unit, one or more limitations of the virtualization unit, and one or more operating costs of the virtualization unit; determining, from the plurality of nodes, an optimal node for implementing a computation algorithm based on one or more required computation operations and the virtualization unit metadata for each of the plurality of nodes; and returning an identification of the optimal node.

Optimizing a workflow of a storlet architecture

A computer-implemented method according to one embodiment includes classifying an image stored on a device as a type of image. A user's access pattern of other images also classified as the type of image is analyzed. The method further includes analyzing at least one sharing medium that the user has previously used to share the image and/or other images. The analyzing the at least one medium is at least in part based on the classified type of the image. A previously recorded delete pattern of the user is analyzed. The analyzing the previously recorded delete pattern of the user is at least in part based on the classified type of the image. Based on the classified type of the image and/or based on results of the analyses, the image is categorized to one of a plurality of image compression categories. Each category corresponds to a degree of image compression.

Embodiments for managing mobile electronic devices are described. At least one user-device interaction characteristic associated with a first mobile electronic device having a first set of hardware attributes is received. The operation of a second mobile electronic device having a second set of hardware attributes is tuned based on one or more of the at least one of the user-device interaction characteristics, a comparison of the first set of hardware attributes and the second set of hardware attributes, or a combination thereof.

Methods and systems for managing computing devices with specification migration

Methods and systems for encrypting data for a multi-tenant filesystem environment are provided. A system for encrypting data for a multitenant filesystem environment includes a file characteristics module that determines file characteristics for a file. The system also includes a user identification module that collects user identification information for one or more file operations, where a file operation in the one or more file operations is performed on a portion of the file. The system further includes a portion information module that gathers portion information about the portion of the file. Additionally, the system includes an encryption module that associates the portion information with a subtenancy encryption key in one or more subtenancy encryption keys based on the user identification information, where the one or more subtenancy encryption keys are associated with the file.

Encryption for a multi-tenant file system

A computer-implemented method according to one embodiment includes receiving a computation algorithm to be implemented by one of a plurality of nodes, identifying object classification data for objects stored within the plurality of nodes, identifying capability data for each of the plurality of nodes, determining an optimal node for implementing the computation algorithm from the plurality of nodes, based on the object classification data and the capability data, and returning an identification of the optimal node.

Minimizing data transport within a storlet architecture

Provided are a computer program product, system, and method for classifying a digital speech sample of a call to determine routing for the call. A digital speech sample of a call agent is processed to categorize speech as having an agent speech attribute. Information is received on a caller speech attribute initiating a call to the call center. The caller speech attribute results from categorizing a caller digital speech sample of the caller as having the caller speech attribute. A call agent of call agents having a call agent speech attribute that matches the caller speech attribute is selected and the call is routed to the selected call agent to process the call.

Classifying a digital speech sample of a call to determine routing for the call

Systems for location selection based on adjacent location errors are provided. One system includes a monitor module that monitors write numbers for one or more locations on a storage device, wherein a write number in the write numbers describes a number of times a storage device operation has been performed at a location in the one or more locations. Additionally, the system includes an identification module that identifies locations in one or more locations that are susceptible to adjacent location errors, wherein an adjacent location error is an error caused by a storage device operation associated with an adjacent location. Also, the system includes a selection module that selects a location in one or more locations for storing data based on monitored write numbers and identified locations.

Location selection based on adjacent location errors

Embodiments are disclosed for reducing audio syndrome content. The techniques include generating a listener profile. The listener profile includes data associated with content that induces an audio syndrome for a listener. The techniques include determining that current content includes content that induces the audio syndrome for the listener. A trained audio syndrome predictor makes the determination based on the listener profile. The techniques include, in response to determining that the current content includes the content that induces the audio syndrome for the listener, generating an alternative audio content that suppresses audibility of the content that induces the audio syndrome for the listener. Additionally, the techniques include presenting the alternative audio content for the listener in place of the current content.

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Sangamner, India

Deepak R Ghuge