Dell Products Inc.

Ravishankar Kanakapura Nanjundaswamy

Naman Goel

Rishi Mukherjee

Parmeshwr Prasad

Viswanath Ponnuru

Shivendra Katiyar

Ravikanth Chaganti

Raveendra Babu Madala

Prasoon Kumar Sinha

Smruti Ranjan Debata

Yogesh Prabhakar Kulkarni

Abhishek Gupta

John H Terpstra

Chandrasekhar Revuri

Niladri Bhattacharya

Suman Lal Banik

Harshendra Shetty

Rishi Chandra

Anand Changegowda

Sharad Awasthi

Tulika Srivastava

A datacenter includes a heterogeneous node group efficiency management system that is coupled to node devices and that, based on a power consumption and performance associated with each node device, generates node group rankings that it uses to group subsets of the node devices into respective heterogeneous node groups. The heterogeneous node group efficiency management system then identifies workload characteristic(s) and performance requirement(s) for a workload provided for deployment, identifies a first heterogeneous node group that satisfies the performance requirement for the workload, and identifies first node device(s) that are included in the first heterogeneous node group and that are configured to perform the first workload having the workload characteristic(s) with a higher power efficiency than second node device(s) that are included in the first heterogeneous node group. The heterogeneous node group efficiency management system then deploys the workload on the first node device(s) in the first heterogeneous node group.

Heterogeneous node group efficiency management system

An apparatus in an illustrative embodiment comprises at least one processing device including a processor coupled to a memory. The at least one processing device is configured to detect a failure impacting management functionality associated with a management controller of a first network device. The at least one processing device is further configured, responsive to the detected failure being a failure of a first type, to address the detected failure utilizing at least one microservice replicated from the management controller to another component of the first network device, and responsive to the detected failure being a failure of a second type different than the first type, to address the detected failure by establishing an alternative management communication channel through at least one additional component of at least the first network device.

High availability management for cloud infrastructure

An apparatus comprises a processing device configured to identify compute nodes installed in a chassis of a modular server, and to determine a health status of the compute nodes. The processing device is also configured to designate, based at least in part on the determined health status of the compute nodes, a first one of the compute nodes to act as a primary node for publishing events generated by the compute nodes to a console of the chassis and at least one other compute node to act as a secondary node responsible for acting as the primary node in response to detecting one or more designated conditions. The processing device is further configured to monitor for the designated conditions, and to re-designate a second one of the compute nodes to act as the primary node in response to detecting at least one of the designated conditions.

Event publication from compute nodes installed in a chassis of a modular server to a console of the chassis

A disclosed workload distribution method determines a yield index for each microservice associated with a containerized application executing on a potentially heterogeneous cluster information handling systems. Each microservice is then assigned to one of N priority categories based on its yield index, where three is an acceptable, but not exclusive, value of N. Resource configuration profiles are maintained for each of the priority categories. Each resource configuration profile assigns a resource configuration to each microservice. An information handling resource associated with a particular microservice is configured in accordance with the resource configuration assigned to the particular microservice by a particular resource configuration profile corresponding to the yield index. In this manner, workloads can be assigned and resources configured in accordance with the containerized application's priorities as exposed by the value indices.

Method and system for business yield aware workload distribution

An apparatus in an illustrative embodiment comprises at least one processing device including a processor and a memory. The at least one processing device is configured to implement a management controller for a network device, the management controller being configured to communicate with at least one management server external to the network device. The at least one processing device is further configured to obtain network configuration information for one or more network interfaces of the network device, to deploy a network address server at least in part on the management controller, and to utilize the network address server deployed at least in part on the management controller to assign at least one network address to each of one or more of the network interfaces of the network device.

Secure and dynamic assignment of network addresses to network devices in an information processing system

A datacenter includes a datacenter efficiency management system coupled to node devices. For each of the node devices and based on a power consumption associated with that node device and a performance associated with that node device, the datacenter efficiency management system generates a node group ranking that it uses to group subsets of the node devices into respective homogenous node groups, and then deploys a respective workload on at least one node device in each of the homogenous node groups. Based on at least one of a node workload bandwidth, a node power consumption, and a node health of each node device on which a workload was deployed, the datacenter efficiency management system then generates a workload performance efficiency ranking of the node devices that it then uses to migrate at least one workload between the node devices.

Datacenter efficiency management system for migrating workload across nodes based on workload performance efficiency ranking

A cooling-power-consumption-based workload allocation system includes a workload allocation system coupled to at least one client device and a plurality of server devices. The workload allocation system receives a first workload request that identifies a first workload from the at least one client device, and determines a first workload priority of the first workload relative to a second workload priority of each second workload being performed by the plurality of server devices. Based on the first workload priority of the first workload relative to the second workload priority of each second workload and a cooling-power-utilization-efficiency ranking of each of the plurality of server devices, the workload allocation system identifies a first server device included in the plurality of server devices for performing the first workload, and causes the first server device to perform the first workload.

Cooling-power-utilization-based workload allocation system

An apparatus comprises a processing device that is configured to maintain a list of a managed devices, to generate a seed value and to submit a login request to a first managed device. The processing device is configured to generate a value based at least in part on the seed value and to select a second managed device from the list based at least in part on the value. The processing device is further configured to receive a second factor authentication challenge from the first managed device and to obtain a device key encrypted passcode from the second managed device. The processing device is further configured to provide the device key encrypted passcode to the first managed device and to receive a successful authentication of the login request from the first managed device based at least in part on providing the device key encrypted passcode to the first managed device.

Autonomous multi-factor authentication

A power/workload management system includes a power system that is coupled to a first computing device that is configured to perform a first workload, as well as to a second computing device. A management subsystem is coupled to the first computing device and the second computing device, and operates to identify a reduced power event associated with the power system and, in response, determine that the first computing device is associated with a higher power consumption than the second computing device. In response to determining that the first computing device is associated with the higher power consumption than the second computing device, the management subsystem moves the first workload to the second computing device such that the second computing device performs the first workload, and configures the first computing device in a reduced power consumption state.

Power/workload management system

A networked system includes a computing device having a central processing system and accelerator system(s). A central processor/accelerator power management system coupled to the computing device via a network operates to deploy workload(s) on the computing device and receive workload performance information from the computing device that identifies a central processing system utilization of the central processing system in performing the workload(s) and an accelerator system utilization of each accelerator system in performing the workload(s). Based on the workload performance information, the computing device determines a first power consumption ratio of the central processing system and the accelerator system(s) in performing the workload(s), and modifies operation of at least one of the central processing system and the accelerator system(s) to change the first power consumption ratio to a second power consumption ratio that is more power efficient than the first power consumption ratio.

Central processor/accelerator power management system

An integrated infrastructure secure communication system includes at least one chassis, and a plurality of computing devices that are located in the at least one chassis and that are coupled to each other. A first computing device included in the plurality of computing device receives a communication from a first component in the first computing device, retrieves a vendor-based key, and encrypts the communication using the vendor-based key to provide a first-level encrypted communication. The first computing device also generates a first random key, encrypts the first-level encrypted communication with the first random key to provide a second-level encrypted communication, and transmits the second-level encrypted communication to a second computing device that is included in the plurality of computing devices.

Integrated infrastructure secure communication system

A data encryption key management system includes an application layer with a hypervisor and a virtual machine, a host operating system coupled to the application layer and including a key management agent, and a Baseboard Management Controller (BMC) device coupled to the host operating system and including a BMC storage device providing a key vault. The BMC device receives a first stored data encryption key that was generated by the hypervisor for the virtual machine from the key management agent, and stores the first stored data encryption key in the key vault provided by the BMC storage device. The BMC device subsequently receives a stored data encryption key request from the key management agent and, in response, retrieves the first stored data encryption key from the key vault provided by the BMC storage device, and transmits the first stored data encryption key to the key management agent.

Data encryption key management system

A secure infrastructure onboarding system includes an infrastructure device with an infrastructure device wireless subsystem that it may use to perform wireless key management system discovery operations in response to initialization. A key management system includes a key management system wireless subsystem it uses to perform the wireless key management system discovery operations with the infrastructure device. The key management subsystem may then wirelessly receive an infrastructure device certificate along with an infrastructure device validation key from the infrastructure device, and validate the first infrastructure device based on the first infrastructure device certificate and the first infrastructure device validation key. In response, the key management system may wirelessly transmit a first credential generation key that is configured for use by the first infrastructure device to generate first authentication credentials.

Secure infrastructure onboarding system

A system comprising a dynamically configurable neural network engine operating on a plurality of processors, an automated knowledge matrix creation system operating on a processor and coupled to the dynamically configurable neural network engine, the automated knowledge matrix creation system configured to provide an input to the neural network engine, and a machine comprehension system coupled to the dynamically configurable neural network engine and configured to associate a plurality of product development documents with a customer created knowledge base and to provide input to the neural network engine.

Configurable layered neural network engine for customer support

A system having multiple racks with a power supply unit (PSU) in each rack, and multiple grids including an uninterruptible power supply (UPS) in each grid to supply power to each PSU. A console determines an amount of wear levelling and an amount of workload to be supported by each UPS. The console configures each UPS based upon the determined amount of wear levelling and the determined amount of workload to be supported by the UPS. Furthermore, the console facilitates an adjustment of a power capping value in each PSU to conform with the configuration of each UPS.

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Bengaluru, India

Ravishankar Kanakapura Nanjundaswamy