Dell Products Inc.

Emc IP Holding Company LLC

William Jeffery White

Robert Anthony Lincourt, Jr

John S Harwood

Said Tabet

Eloy Francisco Macha

Elie Antoun Jreij

William Price Dawkins

Victor Fong

Bradley K Goodman

Douglas L Farley

Susan Elizabeth Young

George Currie

Christopher S MacLellan

Xin Ma

An apparatus comprises at least one processing device configured to receive a cryptographically attested digital document from an onboarding management system, wherein the cryptographically attested digital document comprises one or more credentials for at least one device requesting access to a secure communication channel to communicate with the onboarding management system. The at least one processing device is further configured to verify whether the cryptographically attested digital document is valid, and identify the one or more credentials in response to verifying that the cryptographically attested digital document is valid. The one or more credentials are transmitted to at least one authenticator in response to a request from the at least one authenticator to authenticate the at least one device. The at least one device is given the access to the secure communication channel responsive to verification of the one or more credentials by the at least one authenticator.

Device authentication for onboarding

Techniques described herein relate to a method for managing a distributed multi-tiered computing (DMC) environment. The method includes obtaining, by a global controller, an DMC environment management request from a user, and the DMC environment management request is associated with scheduling an application in the DMC environment; and in response to obtaining the request: providing acknowledgment that the request is received to the user; obtaining an order identifier and a manifest from the user; providing a correlation identifier associated with the request to the user; parsing the manifest to extract application deployment information; scheduling the application to target domains of the DMC based on the application deployment information; and providing the user with the correlation identifier, a success indicator, and application information.

Method and system for processing a manifest to provision an application in a distributed multi- tiered computing environment

The disclosure describes an enhanced distributed retrieval augmented generation (RAG) system. The enhanced distributed RAG system provides RAG data to a local small foundation system to form prompts. The enhanced distributed RAG system creates local query optimized representations (QORs) that are matched with queries sent to the local small foundation system to create prompts. The enhanced distributed RAG system is located on one edge site and is connected to the global federated RAG module. The global federated RAG system is connected to other enhanced distributed RAG systems in other edge sites. QORs can be distributed across the enhanced distributed RAG systems and the global federated RAG module by promoting local QORs to global QORs and vice versa.

Enhanced distributed retrieval augmented generation system

Techniques described herein relate to a method for managing a distributed multi-tiered computing (DMC) environment. The method includes identifying, by a global controller, a load management prediction event; in response to identifying the load management prediction event: obtaining offline data from local controllers associated with a plurality of DMC domains of the DMC environment; generating load management predictions using the offline data; adjusting local controller scheduling policies based on the load management predictions; adjusting global controller scheduling policies based on the load management predictions; making a first determination that the load management predictions require infrastructure adjustments; and in response to the first determination: initiating infrastructure capacity adjustment based on the load management predictions.

Method and system for managing a distributed multi-tiered computing environment based on load predictions

Techniques described herein relate to a method for managing a distributed multi-tiered computing (DMC) environment. The method includes obtaining, by an endpoint controller associated with a device, an initial resource buffer from a local controller; in response to obtaining the initial resource buffer: maintaining the initial resource buffer during task provision for the device; obtaining device metrics based on performance of tasks on the device; making a determination that a resource buffer change event is identified; and in response to the determination: updating the initial resource buffer based on the resource buffer change event.

Method and system for managing resource buffers in a distributed multi-tiered computing environment

Techniques described herein relate to a method for managing a distributed multi-tiered computing (DMC) environment. The method includes identifying, by a local controller associated with an DMC domain, a domain scheduling event associated with a scheduling job; and in response to identifying the domain scheduling event: identifying a candidate list of devices of the DMC domain to schedule tasks associated with the scheduling job based on a location and service level objectives; refining the candidate list of devices based on device configuration requirements, device management requirements, and security requirements to generate a final candidate list; scheduling tasks to devices using the final candidate list; generating scheduling assignments and provisioning command packages based on the scheduled tasks; providing the scheduling assignments and the provision command packages to the devices; and updating a graph based on the scheduling assignments.

Method and system for performing domain level scheduling of an application in a distributed multi-tiered computing environment

Techniques described herein relate to a method for managing a distributed multi-tiered computing (DMC) environment. The method includes obtaining, by a global controller, a DMC environment management request from a user, whereas the DMC environment management request is associated with scheduling an application in the DMC environment; and in response to obtaining the request: identifying target domains for tasks associated with the application based on the request; selecting scheduling policies for each target domain; obtaining fingerprints of previously provisioned applications associated with the request; performing case based reasoning using the fingerprints to generate scheduling packages for the target domains; sending the scheduling packages to local controllers associated with the target domains; obtaining application information from the local controllers; and providing the application information to the user.

Method and system for provisioning an application in a distributed multi-tiered computing environment using case based reasoning

A method of provisioning a self-provisioning computer system is disclosed. The method includes executing code in a secure base activation image to perform various functions. This includes executing an identification process, using a cryptographically created identifier included in the base activation image, with an activation service to confirm an identity of the computer system with the activation service. This further includes confirming system integrity of the computer system with the activation service. Based on confirming the identity of the computer system and confirming system integrity of the computer system, The computer system is unlocked for load installation. Load installation is performed by providing capabilities for the computer system to the activation service and receiving the load based on the provided capabilities.

Edge day zero secure infrastructure provisioning with autonomic methods

Techniques described herein relate to a method for managing a distributed multi-tiered computing (DMC) environment. The method includes decomposing, by a local controller associated with an DMC domain, a service dependency graph associated with a scheduling job; assigning normalized compute units and normalized network units to tasks included in the service dependency graph; generating a Q-table using the service dependency graph and reinforcement Q-learning; calculating a critical path and a max learned path using the Q-table and the service dependency graph; calculating the earliest start time and the latest start time for each task using the service dependency graph and the max learned path to obtain a plurality of earliest start time and latest start time pairs for each task; and generating scheduling assignments using the plurality of earliest start time and latest start time pairs for each task.

Method and system for performing domain level scheduling of an application in a distributed multi-tiered computing environment using reinforcement learning

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

Data characterization techniques in an information processing system environment are disclosed. In one example, at least one processing device is configured to obtain data associated with execution of at least one of a plurality of applications in an information processing system. The processing device extracts features from the obtained data, and then selects a reduced subset of features from the extracted features for use in a machine learning classification process configured to determine an intent of the obtained data.

Feature extraction and selection in information processing system environment

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 of implementing a self-provisioning computer system is shown. The method includes storing a secure base activation image on a computer system. This includes storing executable code to implement enhanced network discovery configured to first attempt to determine if a private TCP port is open and if the private TCP port is not open to default to use of a public URL on a well-known TCP port at the computer system. This further includes storing executable code to implement an auto-connection service configured to automatically connect to a remote activation service to perform identification and attestation of the computer system. This further includes storing executable code to implement a secure vault for cryptographic secrets.

Secure base activation image for edge day zero secure infrastructure provisioning

Self-provisioning a computer system is illustrated. Code in a secure base activation image implements an auto-connection service at the computer system. The auto-connection service attempts to perform a local activation by attempting to determine that a private port is open and using the private port, initiating an identification and attestation process with an activation service. The auto-connection service performs a remote activation by determining that the private port is closed, defaulting activation to a public port, and using the public port, initiating an identification and attestation process with the activation service. Code in the base activation image implements service(s) which execute an identification process, using a cryptographically created identifier included in the base activation image, with the activation service to confirm an identity of the computer system, confirming system integrity of the computer system with the activation service, unlocking the computer system for load installation.

Edge day zero secure infrastructure identification and attestation

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.

Growing community of inventors

Plano, TX, United States of America

William Jeffery White