Dell Products Inc.

Rohit Gosain

Shibi Panikkar

Dhilip S Kumar

Rangan Basu

Daniel Lawrence Hamlin

Ajay Maikhuri

Rajesh Krishnan

Anup Kumar

Souptik Banerjee

Techniques for task management in a parallel processing environment are disclosed. For example, a method comprises obtaining an indication of a data load for a given task, a time range within which the given task is to be executed, and a resource utilization limit for executing the task. The method computes a number of processes to be instantiated to execute the given task for the data load within the time range and the resource utilization limit. The method then schedules the given task to be executed by the computed number of processes in a parallel processing environment.

Time-bound task management in parallel processing environment

Techniques for managing containerized workloads in a container computing environment are disclosed. For example, a method comprises the following steps. In a first mode, the method learns resources and execution times needed to process incoming workloads of a first workload type and a second workload type in a set of one or more clusters in a container-based computing environment. In a second mode, based on the learning of resources and execution times in the first mode, the method determines whether a subsequent incoming workload of the second workload type can be executed by one of the set of one or more clusters or whether an additional cluster should be created to process the subsequent incoming workload and then removed after processing the subsequent incoming workload is completed.

On-demand clusters in container computing environment

An apparatus comprises at least one processing device configured to register two or more source services, wherein registering a given source service comprises executing the given source service to identify inputs and outputs of the given source service, and to select a set of outputs from the registered source services for generating at least a portion of a user interface of an application in an application client, the selected set of outputs comprising at least first and second output from first and second ones of the registered source services. The processing device is also configured to determine an orchestration of the registered source services for obtaining the selected set of outputs, to generate a custom microservice configured to execute the registered source services in accordance with the determined orchestration, and to deploy the custom microservice in an auto-scalable computing framework accessible to the application client of the application.

Generation and deployment of custom microservices for orchestration of multiple source services

An apparatus comprises a processing device configured to generate and utilize an automated document parser for parsing documents exchanged as part of fulfillment of historical component orders by a given supplier in a supply chain for first and second organizations to identify first and second organization-specific component identifiers utilized by the first and second organizations and a given supplier-specific component identifier utilized by the given supplier for a given component. The processing device is further configured to determine a common component identifier for the given component based at least in part on mapping an association between the first and second organization-specific component identifiers, to consolidate first and second component orders by the first and second organizations that utilize the first and second organization-specific component identifiers into an aggregated component order that utilizes the common component identifier, and to process the aggregated component order utilizing suppliers in the supply chain.

Automated document parsing to determine common component identifiers for consolidation of component orders

Techniques are provided for managing an end-to-end software development life cycle. A software development lifecycle management system performs a plurality of stages of work for developing a software application, and records transactions which result from performing the plurality of stages of work, in an immutable digital ledger. The immutable digital ledger can be a blockchain ledger.

Trust and traceability for software development life cycle

An initial transaction is generated representing a forecasted demand for material needed to manufacture equipment via a supply chain. The initial transaction is added to a blockchain for access by entities in the supply chain comprising at least a subset of one or more supply entities, one or more material distribution entities, and one or more manufacturing entities. In one or more examples, the steps may be performed by an OEM blockchain node that accesses any transactions added by the various entities on the blockchain node and limits access to transactions on the blockchain by the various entities. Further, the initial transaction may be a main transaction and a transaction representing a commitment by one of the supply entities may be a sub-transaction of the main transaction, and the sub-transaction is closed in the blockchain upon the request for payment for the committed material or payment of the request.

Supply chain management using blockchain and machine learning functionalities

Automated management of software code change and deployment in an information processing system is disclosed. In one example, a method comprises the following steps. The method obtains one or more parameters specifying a software deployment following at least one code change to a set of one or more software programs. The method distinguishes first portions of the set of one or more software programs that are affected by the at least one code change from second portions of the set of one or more software programs that are unaffected by the at least one code change. The method generates at least one deployment script for causing deployment of the first portions of the set of one or more software programs without causing deployment of the second portions of the set of one or more software programs.

Intelligent management of software deployment based on code change

Techniques for managing critical workloads in container-based computing environments are disclosed. In one example, a method determines a resource trigger threshold associated with executing at least one containerized workload associated with a first service having a first criticality level, the resource trigger threshold corresponding to a resource capacity allocated to execute the first service. The method determines when the resource capacity allocated to execute the first service reaches the resource trigger threshold, and then re-allocates resource capacity allocated to execute at least one containerized workload associated with a second service having a second criticality level to the first service when the resource trigger threshold is reached. For example, the first criticality level may be higher than the second criticality level.

Critical workload management in container-based computing environment

Computing devices with dual computing architectures for use in a subscription model are disclosed. For example, a computing device comprises a first computing architecture comprising a first set of computing resources dedicated to executing one or more first computing tasks, wherein the one or more first computing tasks are associated with a subscription-based user of the computing device. The computing device further comprises a second computing architecture comprising a second set of computing resources dedicated to executing one or more second computing tasks, wherein the one or more second computing tasks are associated with a subscription-based provider of the computing device.

Computing devices with dual computing architectures for use in a subscription model

An example methodology implementing the disclosed techniques includes receiving an online meeting Uniform Resource Locator (URL) for an online meeting that is being scheduled. The method also includes determining whether the online meeting is a secure online meeting. The method also includes, responsive to a determination that the online meeting is a secure online meeting, generating a personalized online meeting URL for each meeting participant that is invited to the secure online meeting, the personalized online meeting URL being based on the online meeting URL. The method further includes encrypting the generated personalized online meeting URLs and sending to each meeting participant that is invited an invitation to the secure online meeting. The invitation sent to each invited meeting participant includes an encrypted personalized online meeting URL that is generated for that invited meeting participant.

Secure online conferencing

A method comprises transmitting order data to at least one package configured for electronically receiving the order data and accommodating one or more items therein, wherein the at least one package is electronically locked. In the method, an access code for electronically unlocking the at least one package is generated and transmitted to a user device. The method also includes receiving a notification that the at least one package was unlocked, wherein the notification is received in response to electronically unlocking the at least one package with the access code.

Smart sustainable packaging system and process

A method including transmitting, by a mobile device, a first encrypted gadget token over a wireless link to an Information Handling System (IHS). The method further including transmitting, by the IHS, an encrypted system token based on the first decrypted gadget token over the wireless link to the mobile device, transmitting, by the mobile device, a second encrypted gadget token based on the decrypted system token over the wireless link to the IHS, authenticating, by the IHS, the second decrypted gadget token, and unlocking the IHS based on the second authenticated gadget token.

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Bengaluru, India

Rohit Gosain