Dell Products Inc.

Dell & Products L.p.

Sudhir Vittal Shetty

Jeffrey M Lairsey

Pushkala Iyer

Saurabh Kishore

Prakash Nara

Mukund Purshottam Khatri

Elie Antoun Jreij

Arulnambi Raju

Michael Emery Brown

Dominique Prunier

Balaji Rajagopalan

Sajjad Ahmed

Eric Williams

Christopher Atkinson

William Price Dawkins

Jon Robert Hass

Zoheb Khan

Joseph LaSalle White

Pawan Kumar Singal

Vijayasimha Reddy Naga

Madhav Karri

Alexander P Rote

Marshal F Savage

Babu Krishna Chandrasekhar

Damon Earley

Kirk Frey

Robert V Cox

Valerie Diane Padilla

Venkata Bala Koteswararao Donepudi

Wei G Liu

Raveendra Babu Madala

Santosh Hanamant Gore

Michael A Brundridge

John Ross Palmer

Saurav Shrestha

Ashish Munjal

Muhammed K Jaber

Robert Barrett

Manoj Sharad Gujarathi

Charles E Rose

Travis E Taylor, Iii

Rakesh Kumar Ayolasomyajula

Pritesh Francis Prabhu

David Matthew Warden

Matthew Christian Paul

Rhushabh Bhandari

Santosh Kumar

John Wilson

Sanjay Sane

Jinsaku Masuyama

James Robert King

George Gilman Richards, Iii

Tommi Salli

Wayne R Weilnau, Jr

Eric Kuzmack

Ning Zhuang

Justin A Kenney

Dahir Nur Herzi

Stephanos S Heracleous

Jacob R Hutcheson

Alex Rote

My Tran

Venkata B Donepudi

Theodore Webb, Iii

Deepak Nagarajegowda

Balaji Shanmugam

Kathleen A Hattaway

Nitesh Kumar Anand

Gaurav Chawla

Shawn Joel Dube

Vinay Sawal

Hendrich M Hernandez

Thomas L Watson

Anurag Sharma

Chandrasekhar Puthillathe

Rishi Mukherjee

Charles Terrence Perusse, Jr

Deepak Gowda

Raja Sathianarayan Jayakumar

James W Arendt

Terry Wayne Liles

Wayne Robert Weilnau, Jr

Marcelo Vinante

Binay A Kuruvila

Susan Elizabeth Young

Alaric J Silveira

Farhan Mohammed Syed

Arun Sarat Yerra

Raajeev Kalyanaraman

Joshua M Pennell

Ross Kevin Burns

Puneet Dhawan

Jason David Shaw

Harish R Gajulapalle

Pallavi Dasari

Theodore Web, Iii

Thomas T O'Connell

Charles Chul Hyon Park

Jeff M Lairsey

Muralidhar Kolli

Methods and systems for managing performance of workloads are disclosed. The performance of the workloads may be managed by choosing a data storage device for the performance of a workload. The data storage device may be chosen by selecting the data storage of data storage devices with a highest reliability prediction. The reliability prediction of the data storage device may be a likelihood of the data storage device of a data processing system to retain the data while performing the workload. The data processing system may be chosen by selecting the data processing system of data processing systems with the highest reliability prediction. The reliability prediction of the data processing system may be a weighted sum of reliability predictions and weights of the data storage devices.

Use of reliability predictions for selection of data storage devices

Systems and methods for detecting data storage drive failures are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include: a processor; and a memory coupled to the processor, where the memory includes program instructions store thereon that, upon execution by the processor, cause the IHS to: obtain data attributes of a data storage drive within a system of data storage drives; generate, based at least in part on the data attributes of the data storage drive, engineered features related to the system of data storage drives; and generate, using a trained artificial intelligence or machine learning model, and based at least in part on the engineered features, a probability of failure for the data storage drive.

System and method to detect data storage drive failures

Methods and systems for managing operation of a deployment comprising data processing systems are disclosed. The operation of the deployment may be managed by reducing a likelihood of failure of services to a data processing system. The likelihood of the failure of the services may be reduced by assigning a pod to a data processing system based on identifying fault zones and implementing a fault zone policy. The fault zones may be identified by determining data processing systems that are managed by an infrastructure component. The fault zone policy may be implemented by limiting the assignment of the pod to any number of data processing systems within a fault zone.

Systematic topology spread of pods to data processing systems

Methods and systems for managing operation of infrastructure are disclosed. The operation of the infrastructure may be managed by managed by identifying solutions that are compatible with the infrastructure. The solutions may be identified through graph analysis of the infrastructure and requirements of various solutions. One or more of the compatible solutions may be selected and used to identify actions and policies for the infrastructure. When used by the infrastructure, the actions and policies may update the operating state of the infrastructure so that the selected solutions may be provided.

Selection and deployment of solutions in distributed systems

Methods and systems for managing data processing systems are disclosed. Data processing systems may be managed by monitoring for failure of a storage device. The storage device may be monitored by obtaining use data and diagnostic data for a storage device. The use data may be obtained to generate predicted future use data. The use data and the predicted future use data may be used to generate a use quantification. The use quantification and the diagnostic data may be ingested in a predictive algorithm to obtain a prediction of the operation of a storage device. The prediction may indicate the likelihood for failure of the storage device.

Managing data processing systems by monitoring for failure

A system, method, and computer-readable medium for performing a communications management operation. The communications management operation includes: providing a data center asset with a connectivity management system client module; setting the data center asset to a disable until claimed status; providing the data center asset with proof of possession information; establishing a connection between the connectivity management system client module and a connectivity management system of a data center monitoring and management console, establishing a secure communication channel between the connectivity management system client module and a connectivity management system aggregator based upon the proof of ownership information; and, setting the data asset center to a claimed status based upon the information exchanged between the connectivity management system client module and the connectivity management system.

Device disabled until claimed

According to one embodiment, a liquid cooling leakage abatement system includes a systems manager having executable instructions for obtaining location information for each of a plurality of components of a computing cluster in which at least a portion of the components are cooled by a liquid cooling system via a liquid coolant. When the systems manager receives leakage information associated with a leak in the liquid cooling system used to cool a first component, it infers a second component that is affected by the leak, and generates an alert message indicating that the first and second components that are affected by the leak.

Liquid cooling leakage abatement system and method of using the same

A scope-based access control system includes a systems manager that is executed to receive a request to perform an operation on one of multiple computing devices in which the request includes a session identifier associated with an established session of a user who issued the request. The systems manager forwards the request and the session identifier to a global authentication authority. The global authentication authority responds to the request by issuing a claim that specifies a computing device group that the session is authorized to access. The systems manager receives the claim specifying a computing device group from the global authentication authority. The systems manager then performs the operation based on whether the one computing device is included in the computing device group.

Scope-based access control system and method

A system, method, and computer-readable medium for performing a data center management and monitoring operation. The data center management and monitoring operation includes: identifying data forwarder configuration information for a plurality of data forwarders, the forwarder configuration information including scheduling information; scheduling collection of data from a data source according to the scheduling information; collecting data from a data source based upon the scheduling, the collecting using the forwarder configuration information to identify the data to be collected; formatting the data collected from the data source according to the data forwarder configuration information to provide formatted data; and, forwarding the formatted data to a recipient.

Data center monitoring and management operation including an extensible data forwarding operation

An information handling system includes first and second memories, and a processor. The first memory stores user settings for performing a search in a system management console. The second memory stores data associated with components of the system management console. The processor receives multiple user defined weights, and each of the user defined weights is associated with a different search criterion of multiple search criteria. Based on the received user defined weights, the processor determines updated weights for each of the search criteria. The processor stores the updated weights for each of the search criteria in the user setting of the first memory. The processor receives a search query, and provides search results based on the search query and the updated weights for each of the search criteria. The search results include data from the second memory.

User-driven dynamic system management search

A system, method, and computer-readable medium are disclosed for performing a data center connectivity management operation. The connectivity management operation includes: establishing a secure communication channel between a connectivity management system client and a connectivity management system; exchanging information between the connectivity management system client and the connectivity management system via the secure communication channel between the connectivity management system client and the connectivity management system, the information including a provisioning request, the provisioning request being generated by the baseboard management controller; and, providing provisioning information to the data center asset via the secure communication channel.

Data center asset deployment via a connectivity management deployment operation

A system, method, and computer-readable medium for performing a telemetry aggregation operation. The telemetry aggregation operation includes: associating a data center asset from a plurality of data center assets with a data center asset group, the associating being based upon a telemetry information response time of the data center asset; identifying a telemetry aggregation cycle time for the data center asset group; collecting telemetry information from the data center asset of the plurality of data center assets; and, aggregating the telemetry information according to the telemetry aggregation cycle time.

Adaptive segmentation of data center asset telemetry information

A system, method, and computer-readable medium for performing a data center connectivity management operation. The connectivity management operation includes: providing a data center asset with and an embedded data center asset client module; establishing a connection between the embedded data center asset client module and a connectivity management system, the connectivity management system comprising a connectivity management system aggregator; and, communicating between the embedded data center asset client module and the connectivity management system.

Connectivity management system which optimizes embedded connectivity management system operations

In general, the invention relates to providing computer implemented services using information handling systems. One or more embodiments of the invention includes identifying a hardware resource requirement in a composition request for a composed information handling system, wherein the hardware resource requirement specifies a hardware resource with data transformation functionality (DTF), identifying a hardware resource that does not have the DTF, connecting the hardware resource to a DTF container, wherein the DTF container implements the DTF and emulates the hardware resource with DTF, and initiating composition of the composed information handling system using the DTF container, wherein the DTF container satisfies the hardware resource requirement.

Method and system for a utilizing a proxy service to generate a composed information handling system

In general, the invention relate to providing computer implemented services using information handling systems. One or more embodiments includes after being allocated to a composed information handling system of the composed information handling systems: monitoring health of a hardware resource of the composed information handling system, making a determination, based on the monitoring of the health of the hardware resource, that the hardware resource is in a compromised state, and based on the determination, initiating a hardware replacement operation using replacement option information (ROI) for the hardware resource and replacement conditions for the hardware resource.

Method and system for automated healing of hardware resources in a composed information handling system

Growing community of inventors

Cedar Park, TX, United States of America

Sudhir Vittal Shetty