Emc IP Holding Company LLC

Dell Products Inc.

Emc Corporation

Dell & Products L.p.

Robert Anthony Lincourt, Jr

John S Harwood

William Jeffery White

Douglas L Farley

Gaurav Chawla

Nicole Reineke

Said Tabet

Stephen J Todd

James Robert King

Eloy Francisco Macha

Elie Antoun Jreij

John T Cardente

Christopher Chaulk

Susan Elizabeth Young

Susan Rundbaken Young

Jimmy Doyle Pike

Layne Lin Peng

James W Espy

Tommi Salli

Yifan Sun

David Edward Frattura

Edward Henry

Junping Zhao

Sumedh Wasudeo Sathaye

Samuil Shmuylovich

Lejin Du

Mark Adam Arakelian

Misha Nossik

Ryan Wallner

Jean-Pierre Bono

William Price Dawkins

Hanna Yehuda

Shyamkumar Thiyagarajan Iyer

Victor Fong

Anoop George Ninan

Stephen Glen Graham

Dominique Prunier

Boris Farizon

Svetlana Patsenker

Alexander Dubrovsky

Kirk Frey

Christopher S MacLellan

Eugenio Korolev

Matthew L Troutman

Conor Fox

Min Yin

Anna Groves

Anthony Patterson

Mark Kaberman

David K Spencer

Venkat R Tiruveedi

Pramod Kulyadi Pai

Rajesh K Gandi

Aleksandra A Messier

A method and system for metadata-based learning curriculum generation. A learning curriculum may generally refer to an ordered (or sequenced) manifest of learning materials and/or content that may progressively advance user proficiency in at least a learning topic of interest. Existing systems or solutions offering learning curriculums today rely on the availability of static assets supported by static metadata descriptive thereof. As an improvement over said existing systems/solutions, embodiments disclosed herein enable newly introduced and ingested information, from across various data sources, to dynamically update the metadata and, therefore, dynamically update any learning curriculum(s) contingent on said metadata. Moreover, accessibility or inaccessibility to any given asset (e.g., learning material and/or content) may depend on the access authority granted to the user(s) seeking said given asset.

Metadata-based learning curriculum generation

Techniques described herein relate to a method for managing a distributed multi-tiered computing (DMC) environment. The method includes obtaining, by a local controller associated with a DMC domain, service level objective (SLO) metrics; applying the SLO metrics to a predictive anomaly detection transformer to perform anomaly detection; making a first determination that an anomaly is detected; in response to the first determination: attempting basic remediation to resolve the anomaly; making a second determination that the basic remediation is unsuccessful; in response to the second determination: making a third determination that the anomaly is associated with a silent failure; and in response to the third determination: performing service impairment isolation to obtain a collection of services correlated to the anomaly; and performing root cause analysis to identify causal services.

Method and system for performing anomaly detection in a distributed multi-tiered computing environment

Techniques described herein relate to a method for managing telemetry services for composed information handling systems. The method includes obtaining, by a system control processor manager, a telemetry request associated with a composed information handling system from a user; in response to obtaining the telemetry request: identifying a transaction identifier associated with the telemetry request; identifying telemetry intent associated with the telemetry request; aggregating telemetry data based on the telemetry intent and a telemetry data map entry associated with the transaction identifier to obtain aggregated telemetry data; and providing the aggregated telemetry data to the user.

Method and system for managing telemetry services for composed information handling systems

A method for generating a domain topology for a system, the method that includes accessing a functional model database, identifying, in a computing resource database, a configuration of components matching a functional model in the functional model database, generating a domain for the configuration of components, in a domain topology, and generating a graphical hierarchy of the domain topology and providing it to a user.

Systems and methods for identifying and organizing device capabilities into graphical hierarchies

A method and system for insight creation transparency. Explainable artificial intelligence, in recent years, has become synonymous with a framework through which users, relying on machine learning models for various applications, may come to trust the result(s) outputted by said models through better comprehension of the mechanisms leading to said result(s). Leveraging a vast database of metadata for a plethora of unstructured and structured data/information, embodiments disclosed herein derive, or infer, insights therefrom that best address any user-submitted queries. Embodiments disclosed herein, further, provide transparency information detailing, for example, which input(s) and which technique(s) and/or algorithm(s) were employed to arrive at the derived/inferred insights.

Insight creation transparency

A method and system metadata-based query rewriting. Query rewriting may generally refer to the automatic transformation of search queries in order to better represent the intent of the searcher (i.e., reason(s) motivating the searcher to conduct any search query). Embodiments disclosed herein, more specifically, leverage captured asset metadata, for assets hosted across various internal and external data sources, as well as graph techniques, to provide search query results that more closely match the said intent of the searcher. The graph techniques lead to the identification of adjacent areas and topics to the original search query, thereby enhancing the recall and/or precision of any returned search query results.

Metadata-based query rewriting

Techniques described herein relate to a method for performing state management services for composed information handling systems. The method includes making a determination that an at least one control resource set is not associated with a distributed state storage system; and in response to the determination: identifying additional computing resources to instantiate a distributed state storage system; instantiating the distributed state storage system using the additional computing resources; registering the at least one control resource set with the distributed state storage system; and preparing the at least one control resource set to perform at state management services using the distributed state storage system.

Method and system for performing state management services for composed information handling systems

Techniques described herein relate to a method for distributed data management. The method may include obtaining, by a data management agent of a data host and from an application executing on the data host, a request to access data; obtaining, by the data management agent, an information set associated with the data; making a determination, by the data management agent, that at least a portion of the data is not ready to be used by the application; and performing, by the data management agent and based on the determination, a data preparation action set.

Systems and methods for transparent edge application dataset management and control

Techniques described herein relate to a method for managing composed information handling systems. The method includes obtaining, by a system control processor manager, a composition request for a composed information handling system to perform a workflow; in response to obtaining the composition request: identifying a composed system blueprint associated with the workflow; making a first determination that there are first predictive analytics associated with the composed system blueprint; in response to the first determination: identifying a composed infrastructure associated with the composed system blueprint capable of performing the workflow based on telemetry data and the first predictive analytics; instantiating a composed information handling system using the composed infrastructure to service the composition request; and setting up telemetry services for the composed information handling system using an at least one control resource set.

Method and system for performing predictive compositions for composed information handling systems using telemetry data

Techniques described herein relate to a method for managing workflows. The method may include obtaining, from a client, by a registration manager associated with accelerator pools, a request to perform a portion of a workflow using accelerators; identifying a minimum quantity and a maximum quantity of accelerators associated with the request; identifying a storage to store data associated with the portion of the workflow; identifying an accelerator pool of the accelerator pools that includes at least the maximum quantity of accelerators; establishing a connection between the client, the storage, and accelerators of the accelerator pool to perform the portion of the workflow; and initiating the performance of the portion of the workflow using the storage, the client, and the accelerators of the accelerator pool.

Method and system for managing accelerator pools to perform subportions of portions of workflows

A method and system for business intent-assisted search. A business intent may generally refer to information, respective to an organization user, which may pertain to or describe the engagement of the organization user within and/or outside their organization (e.g., a commercial business, an education institution, etc.). Embodiments disclosed herein, accordingly, implement search query processing based on the business intent modeled for the search query submitter (e.g., an organization user). Further, a recall of any returned information, relevant to the search query, may be contingent on and/or directly correlated with a completeness of the modeled business intent for any given organization user.

Business intent-assisted search

A method for managing composed information handling systems to perform workflows. The method includes obtaining a first request for data from a system control processor to perform a first portion of a workflow; making a first determination that the first request is associated with a first change of the data; performing first transformations on the data based on the first request to obtain first transformed data; providing the first transformed data to the system control processor; obtaining a second request for the data from the system control processor to perform a second portion of the workflow; making a second determination that the second request is associated with a second change of the data; performing second transformations on the data based on the second request to obtain second transformed data; and providing the second transformed data to the system control processor.

Method and system for performing data management services for composed information handling systems

A method and system for metadata-based feature expansion for automated machine learning processes. In machine learning, feature selection—or a method through model inputs are reduced in dimensionality by retaining the relevant features, while also discarding the noise, thereof—often plays a pivotal role in the availability of algorithm(s) to derive model(s) from, the optimizing of said model(s) through training and/or testing, and, ultimately, the reaching of acceptable performance thresholds evaluating said model(s), which leads to their implementation in solving real-world problems. Embodiments disclosed herein, accordingly, leverage captured dataset metadata, as well as graph techniques, to identify and suggest one or more supplemental features distinct from original features for, and yet relevant to, the real-world problem and any machine learning models being evaluated.

Metadata-based feature expansion for automated machine learning processes

Techniques described herein relate to a method for deploying workflows. The method may include receiving, by a platform controller of a domain, a workflow portion from a service controller of a federated controller, provisioning a set of devices in the domain to the workflow portion based on a first fit, generating, by the platform controller, a workflow fingerprint based on the provisioning of the set of devices and based on the workflow portion, executing the workflow portion in the domain using the set of devices, making a determination that the workflow portion requires additional resources, based on the determination, provisioning additional resources of the domain to the workflow portion to obtain an updated execution resource set, and updating the workflow fingerprint based on the updated execution resource set to obtain an updated workflow fingerprint, and executing the workflow portion using the updated execution resource set.

Generating and managing workflow fingerprints based on provisioning of devices in a device ecosystem

Techniques described herein relate to a method for distributed data management. The method may include making a first determination that data is written to a data structure of storage of a data host; obtaining, based on the first determination, data information associated with the data; making a second determination of intent corresponding to the data; generating a global name and metadata corresponding to the data, wherein the metadata comprises the intent; and publishing the global name and the metadata to a global name repository.

Data management techniques using distributed policy agent

Growing community of inventors

Pawtucket, RI, United States of America

Robert Anthony Lincourt, Jr