Dell Products Inc.

Emc IP Holding Company LLC

Dell & Products L.p.

Shibi Panikkar

Rohit Gosain

Pratheek Veluswamy

Murali Devendranath

Sisir Samanta

Sathish Kumar Bikumala

Dhilip S Kumar

Parminder Singh Sethi

Manav Ghosh

Shanir Anshul

Ching-Yun Chao

Ajay Maikhuri

Rangan Basu

Teja Madhukar Manakame

Aashna Mohapatra

Subhashini Puram

Dong Ji

Elie Antoun Jreij

Yun Zhang

Muzhar S Khokhar

Dominique Prunier

Deepak NagarajeGowda

Robert A Lincourt

Chetan Pudiyanda Somaiah

Reddeppa Kollu

Xiang Cao

Bridget Cate

Mahesh Kumar Kancharla

Karan Kapoor

Sudeshna Dash

Tuck Meng Chin

Andrew Nepogodin

Ravi Kumar

Jason Davidson

Ravi Prakash Kulkarni

Wallace Wei

Sanjukta De

Naga Navya Nandini Nidhi Pavuluri

Thirumaleshwara Adyanadka Shama

Anup Kumar

Kwong Lung Yong

Susana Cherian

Thiru Shama

Rajesh Kumar Reddy Vasa

Sekar Ponnayan

Ajit Kar

Ravuru Vijaya Sankar

Bajrang Harlalka

Ramakanth Kommu

Ambarish Roy

Jennifer Ann Felch

Chakradhar Kommana

Arvind Babu Matta Adiseshaiah

Deepali S Mali

Guruprasad Rao

Bhanu Pratap Singh

Thirumaleshwara Shama

An example methodology includes, by a computing device, analyzing an application to identify one or more elements in the application and, for each element of the one or more elements, an attribution of the element. The method also includes, for each element of the one or more elements, by the computing device, determining an attribute of the element which is a non-duplicate attribute, creating a first accessibility to the element by the non-duplicate attribute, creating a second accessibility to the element by XPath, and storing the first accessibility and the second accessibility created for the element within a central repository. The method may also include, by the computing device, generating a handler class for an element of the one or more elements in the application, wherein the handler class contains code for accessing the element, and providing the generated handler class to another computing device.

Heterogenous multi-tenant web application elements handler

Techniques are disclosed for managing workloads in data processing systems. For example, a method determines a set of containers for processing a given workload of data records, wherein each container of the set of containers is configured to process a given subset of the data records. The method causes deployment of the set of containers in a ring configuration to process the given workload of data records such that at least one of the containers in the ring configuration automatically processes one or more data records of a subset of data records assigned to another container in the ring configuration that becomes inactive.

Ring architecture-based workload distribution in a microservice computing environment

Techniques are disclosed for managing workloads in data processing systems. For example, a method computes a set of sustainability modes for a computing environment, wherein each sustainability mode comprises respective configuration boundaries defining a different amount of resources that are available for executing one or more workloads in the computing environment.

Sustainability modes in a computing environment

Application program management techniques in an information processing system environment are disclosed. For example, a method comprises assessing an issue with an execution of a first application, by a second application, wherein the second application operates in association with the first application and comprises a reduced code set of the first application, and wherein the issue is assessed by the second application at least in part based on an artificial intelligence model trained on a context of the first application. The method further comprises generating, by the second application, a remedy for the issue based on the assessing.

Application assistant for managing application programs in an information processing system

Systems and methods for location-based IHS disablement in an Information Handling System (IHS) are described. In an embodiment, an IHS may include: a host processor; a security processor coupled to the host processor; and a memory coupled to the security processor, the memory having program instructions stored thereon that, upon execution, cause the security processor to: detect a location where the IHS is currently disposed; determine one or more restrictions associated with the detected location, each of the restrictions specifying a limitation to be imparted on a resource of the IHS; and communicate with the IHS to apply the determined restrictions.

Location-based IHS disablement system and method

An apparatus comprises a processing device configured to identify a source database of a first database type that is to be migrated to a target database of a second database type, to determine a set of migration factors for migrating the source database to the target database, and to select a given migration machine learning model for estimating a size required for the target database based at least in part on the first database type of the source database and the second database type of the target database. The processing device is further configured to estimate the size required for the target database utilizing the given migration machine learning model and the determined set of migration factors and to provision, for the target database, a given amount of storage resources based at least in part on the estimated size required for the target database.

Machine learning-based determination of target database size for database migration operations

Edge configuration aware license key generation is presented herein. An example method comprises, in response to downloading an intelligent activation key, instantiating an edge configuration engine comprising a listening process and a configuration process, creating and associating a license file vault instance with the edge configuration engine, initiating the listening process, and based on the listening process detecting that a change has occurred with the license file vault, initiating the configuration process, wherein the configuration process configures edge computing equipment to retrieve enabling data used to activate a product associated with the intelligent activation key and enumerated in the license file vault.

Edge configuration aware license key

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

Methods, apparatus, and processor-readable storage media for processing usage data for remote infrastructure using adjustable execution models are provided herein. An example computer-implemented method includes: obtaining a data structure related to a subscription request for hardware infrastructure provided by a service provider, wherein the data structure is obtained by a processing engine deployed on the hardware infrastructure at a remote location; analyzing the data structure to build an execution model comprising function blocks for processing usage data associated with the hardware infrastructure and one or more instructions to execute the function blocks; processing the usage data for a given time period in accordance with the execution model; providing execution data associated with the plurality of function blocks; and automatically adjusting the execution model for an additional time period using information obtained from the service provider, wherein the obtained information is based at least in part on the execution data.

Adjustable execution models for processing usage data for remote infrastructure

Techniques are disclosed for data management comprising self-service data integration functionalities in information processing systems. For example, a method includes accessing, by a first processing node of an information processing system associated with a data consumer, a schema for a dataset of a data publisher associated with a second processing node of the information processing system. The method utilizes, by the first processing node, the schema to select at least a subset of the dataset. The method generates, by the first processing node, a query to obtain the selected subset of the dataset from the second processing node. The method sends, by the first processing node, the query to the second processing node and then receives, at the first processing node, the subset of the dataset from the second processing node.

Data integration in an information processing system

Methods, apparatus, and processor-readable storage media for processing transactions using nested data objects are provided herein. An example computer-implemented method includes: generating a nested data object corresponding to a file, where the nested data object includes a first layer for a first transaction related to the file; adding, for each of one or more additional transactions related to the file, a corresponding additional layer to the nested data object, where each layer of the nested data object include one or more respective hash values and one or more respective private keys; and transmitting the nested data object to a user device, where each layer of the nested object are encrypted based on a type of access specified for a user of the user device, and wherein each of the transactions is verifiable based at last in part on the one or more hash values of the corresponding layer.

Processing transactions using nested data objects

A system, method, and computer-readable medium for authentication as to resources of a subscription for a customer for particular resources that include hardware and software. A distributed ledger, such as a block chain support a main subscription channel. Factory entities of the provider of the resources write to a sub distributed ledger of the distributed ledger, where the sub distributed ledger is related to a factory subscription channel. Third party vendors of the provider of the resources write to another sub distributed ledger of the distributed ledger, where this sub distributed ledger is related to a vendor subscription channel. The distributed ledger of the main subscription channel is updated with provisioning of the resources. An authenticity view is provided as to updated main subscription channel.

System and method of provisioning transparency using trusted secure chained visibility with customer conscience

Techniques for managing containerized workloads in a container computing environment are disclosed. For example, a method comprises the following steps. In a container computing environment configured to create an instance of a containerized workload for executing a microservice, the method computes a parameter based on a first set of execution conditions for the microservice, wherein the parameter represents a resource utilization value at which at least one additional instance of the containerized workload is created for executing the microservice. The method then re-computes the parameter based on a second set of execution conditions for the microservice.

Containerized workload management in container computing environment

Techniques for management of a multi-cloud computing environment are disclosed. For example, a method comprises the following steps. A node is configured to participate in a distributed ledger protocol with one or more other nodes. The node is further configured to maintain, in conjunction with the one or more other nodes, a data structure of blocks, wherein the blocks represent one or more of elements and operations associated with a multi-cloud computing environment and collectively function as a digital representation of the multi-cloud computing environment.

Blockchain twin architecture for secure management of multi-cloud computing environment

Growing community of inventors

Bengaluru, India

Shibi Panikkar