Dell Products Inc.

Lucas A Wilson

Dharmesh M Patel

John A Lockman, Iii

Onur Celebioglu

Balasubramanian Chandrasekaran

Methods and systems for managing workload performance in distributed systems is disclosed. The distributed system may include any number of data processing systems that may perform workloads. To manage workload performance, the distributed system may include a distributed control plane. The distributed control plane may include any number of data processing systems that both receive and service workload requests. When a workload request is received by one of the data processing systems of the control plane, a consensus based processing for a selecting one of the data processing systems to perform the workload may be performed. Consequently, the data processing system that received the workload request may or may not perform the workload to service the workload request depending on the outcome of the consensus based process.

Consensus-based distributed scheduler

Methods and systems for managing distributed systems are disclosed. The distributed systems may include any number of data processing systems that may contribute to the functionality of the distributed system. To contribute to the functionality of the distributed system, each of the data processing systems may need to be configured to positively contribute to one or more functions. To manage configuration of data processing system, a distributed control plane may be utilized that vests decision making authority at different levels within a hierarchy. The distributed control plane may utilize an intermediate representation of intent of users and through which flexibility of implementation may be maintained.

System and method for distributed management of configurable hardware to satisfy user intent

Methods and systems for managing distributed systems are disclosed. The distributed systems may include any number of data processing systems that may contribute to the functionality of the distributed system. To contribute to the functionality of the distributed system, each of the data processing systems may need to be configured to positively contribute to one or more functions. To manage configuration of data processing system, a distributed control plane may be utilized that vests decision making authority at different levels within a hierarchy. The hierarchy may be flexible and adapt to changes in connectivity between data processing systems.

System and method for distributed management of hardware with intermittent connectivity

Methods and systems for managing the performance of workloads in a distributed system are disclosed. The distributed system may include any number of clients and deployments where workloads may be performed. The deployments may include different hardware resources, may have different levels of performance, and/or may have other different characteristics that may impact performance of a given workload using any of the deployments. To service the workloads, container instances may be deployed to various deployments. When deciding where to deploy the container instances, the hardware resources of the deployments and/or resource expectations associated with the container instances may be taken into account. By doing so, container instances may be more likely to be deployed to deployments that meet their resource expectations.

System and method for metadata-informed container deployment

Methods, systems, and devices for providing computer implemented services using managed systems are disclosed. To provide the computer implemented services, hardware components may be bundled into hardware bundles. The hardware bundles may be used to satisfy subscriptions for the services, and limit use of the hardware bundles when subscription limits are reached. The hardware bundles may include direct management hardware components and indirect management hardware components. The performance of the hardware bundles may be characterized to facilitate future selection for use of the hardware bundles in various processes.

Characterization and use of hardware bundles

Methods, systems, and devices for providing for providing computer implemented services using managed systems are disclosed. To improve the likelihood of the computer implemented services being provided, a subscription based model may be used to manage the managed systems. The subscription based model may provide for automatic configuration of and software deployment to any number of managed systems to provide subscribed to solutions to various users. To manage subscriptions, a highly available management service may be provided to users. The management service may allow users to select desired services. Once selected, the management service may automatically modify various managed systems to provide the subscribed solution.

System and method for subscription based solution implementation

Methods and systems for managing distributed systems are disclosed. The distributed systems may include any number of data processing systems that may contribute to the functionality of the distributed system. To contribute to the functionality of the distributed system, each of the data processing systems may need to be configured to positively contribute to one or more functions. To manage configuration of data processing system, user input reflecting the intent of a client with respect to services may be obtained. The user input may reflect responses to multiple inquires which may elucidate the client's true with respect to use of services provided by data processing systems.

System and method for distributed management of hardware based on performance validation

Methods, systems, and devices for providing computer implemented services using managed systems are disclosed. To provide the computer implemented services, the managed systems may need to operate in a predetermined manner conducive to, for example, execution of applications that provide the computer implemented services. Similarly, the managed system may need access to certain hardware resources (e.g., and also software resources such as drivers, firmware, etc.) to provide the desired computer implemented services. To improve the likelihood of the computer implemented services being provided, the managed systems may be managed using a subscription based model. The subscription model may utilize a highly accessible service to obtain information regarding desired capabilities (e.g., a subscription) of a managed system, and use the acquired information to automatically configure and manage the features and capabilities of the managed systems by powering and depowering select components.

System and method for power state enforced subscription management

Methods and systems for managing the performance of workloads in a distributed system are disclosed. The distributed system may include any number of clients, deployments, and data sources operably to one another. To service the workloads, container instances may be deployed to various deployments. When deciding where to deploy the container instances, the hardware resources of the deployments and/or resource expectations associated with the container instances may be taken into account. By doing so, container instances may be more likely to be deployed to deployments that meet their resource expectations. The resource expectations may be embedded as metadata in resources specific build files.

System and method for enhanced container deployment

A method for managing information handling systems includes obtaining, by a committee-leading information handling system of the set of information handling systems, a set of hardware resource information entries from a set of information handling systems in a first committee, performing a stackable system role (SSR) entry analysis based on the set of hardware resource information entries, and determining a set of SSRs, wherein each SSR in the set of SSRs corresponds to an information handling system in the set of information handling systems in the first committee, providing the set of SSRs to a leading information handling system, obtaining a response from the leading information handling system, and based on the response, executing a SSR instruction on the committee-leading information handling system.

Method and system for a semi-democratic determination of stackable system roles in an information handling system environment

Methods and systems for managing the performance of workloads in a distributed system are disclosed. The distributed system may include any number of clients and deployments where workloads may be performed. The workloads may be performed by deploying container instances to the deployments. The container instances may perform the workload when deployed. It may be challenging to ascertain whether a container instance, container image on which the instance is based, and/or corresponding build file used to obtain the container image should be trusted. Metadata block chains may be used to ascertain whether container instances should be deployed to service the workload requests.

System and method for container validation

Methods, systems, and devices for providing for providing computer implemented services using managed systems are disclosed. To improve the likelihood of the computer implemented services being provided, a subscription based model may be used to manage the managed systems. The subscription model may utilize a highly accessible service to obtain information regarding capabilities of managed systems to present information regarding all potential solutions that the managed systems may provide. By presenting users with such information, the users may not need to be well versed in the underlying hardware and software components necessary for the solutions to be provided. As the hardware components of a managed system are changed over time, the compatible solutions may be continuously updated so that users may be continuously appraised of possible solutions that may be provided using the managed systems.

System and method for subscription based solution management

Methods and systems for managing distributed systems are disclosed. The distributed systems may include any number of data processing systems that may contribute to the functionality of the distributed system. To contribute to the functionality of the distributed system, each of the data processing systems may need to be configured to positively contribute to one or more functions. To manage configuration of data processing system, intermediate representations of roles may be used to flexibly manage system configuration. The roles may be taken on by independent and dependent data processing systems.

System and method for distributed management of hardware through relationship management

A model lifecycle management method includes: executing a model initial development phase based on at least a first criteria, a second criteria, and a third criteria to obtain a set of production ready models; executing, using the set of production ready models, a model production phase based on at least a fourth criteria, a fifth criteria, and a sixth criteria to obtain; and executing, after executing the model production phase, using the set of models to be updated, a model update phase based on at least a seventh criteria on at least one model in the model production phase.

Systems and methods for model lifecycle management

A method for managing information handling systems includes initiating, by a stackable system role (SSR) manager of an information handling system of the set of information handling systems, a boot sequence, making a first determination that the boot sequence does not specify a SSR of the information handling system, and based on the first determination: performing a hardware evaluation to determine a SSR for the information handling system, broadcasting the SSR to the set of information handling systems, obtaining, in response to the broadcasting, SSR responses from each information handling system in the set of information handling systems, making a second determination, based on the SSR responses, that an SSR agreement between the set of information handling systems is obtained, based on the second determination, determining a final SSR, and continuing the boot sequence using the final SSR.

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Cedar Park, TX, United States of America

Lucas A Wilson