Emc IP Holding Company LLC

Dell Products Inc.

Emc Corporation

Dell & Products L.p.

Shelesh Chopra

Sunil Kumar Yadav

Amarendra Behera

Parminder Singh Sethi

Manish Sharma

Gururaj Reddy Kulkarni

Vladimir Mandic

Aaditya Rakesh Bansal

Tushar Dethe

Lakshmi Saroja Nalam

Ravi Vijayakumar Chitloor

Himanshu Arora

Upanshu Singhal

Asif Khan

Rahul Deo Vishwakarma

Deependra Pratap Singh

Krishnendu Bagchi

Jigar Premajibhai Bhanushali

Navneet Upadhyay

Soumen Acharya

Mohammed Abdul Samad

Sapna Chauhan

Amith Ramachandran

Vipin Kumar Kaushal

Mahantesh M Ambaljeri

Yasemin Ugur-Ozekinci

Mahesh Reddy Appireddygari Venkataramana

Chetan Battal

Jayashree B Radha

Prabhat Kumar Dubey

Eric Matthies

Gururaj Soma

Matthew Dickey Buchman

Swaroop Shankar D H

John C Rokicki

Sudha Hebsur

Pallavi Prakash

Christopher Francis Wroten

Archit Seth

Ken Owens

Preeti Varma

Gajendran Raghunathan

Chandra Prakash

Nitin Anand

Hareej G Hebbur

Shivakumar Kunnal Onkarappa

Chakraveer Singh

Kumari Priyanka

Rahul Bhardwaj

Akansha Purwar

Lalita Dabburi

Shilpa Mehta

Anjana Rao

Parmeshwr Prasad

Ashish Kumar

Akanksha Goel

Jaishree Balasubramanian

Pradeep Mittal

Sharath Talkad Srinivasan

Hemant Ramesh Gaikwad

Pawan Singh

Kanika Kapish

Amit Jain

Shraddha Chunekar

Jayashree Radha

Mahipat Rao Kulkarni

Anand Reddy

Madhuri Dwarakanath

Atishay Jain

Gopal Singh

Malathi R

Anannya Roy Chowdhury

Rejith Mohan M

Niketan Narayan Kalaskar

Aneesh Kumar Gurindapalli

Anay Kishore

Adrian Dobrean

Ankit Prakash Gupta

Peter Armorer

Shubhashish Mallik

Rajendra Kumar Gupta

Bharat Bhushan

Sadagopan Balaraman

Harish Jayaram

Kenneth William Owens

Manjunath Jagannatha

Suman Chandra Tokuri

Scott Randolph Quesnelle

Malathi Ramakrishnan

Swaroop Shankar Dh

Ajith Gopinath

Sunder Ramesh Andra

Sanjeev Kumar Lohchab

Jitendra Singh

Kiran M V Kumar

Satyendra Nath Sharma

Deepthi Urs

Venkatraman Venkatasubramanyam

Ravi Shankar

A method for enhancing data security includes receiving data. The method includes obtaining a plurality of contextual factors associated with the data. The further method includes determining an encryption level based on at least one of the contextual factors. The method further includes determining a type of encryption based on the encryption level. The method further includes encrypting the data using the type of encryption to generate encrypted data. The method further includes associating an access control level with the encrypted data to generate associated encrypted data. The method also includes determining a storage location for the associated encrypted data based on the encryption level, wherein determining the storage location is based on a data sensitivity associated with the data or a compliance rule. The method further includes sending the associated encrypted data to the storage location.

Contextual encryption and access control of data

Embodiments described herein relate to methods, systems, and non-transitory computer readable mediums storing instructions for creating and executing migration workflows to replicate or migrate data (collectively referred to herein as 'migration') from one device or set of devices to another device or set of devices (e.g., from one computing environment to another). The method of migration involves determining the health of a device used by the applications and prioritizing the migration of applications based, in part, on the health of the devices executing the applications that are to be migrated.

Device health driven migration of applications and its dependencies

A method for managing data protection scripts includes monitoring, by a backup server, a production environment to obtain script execution information associated with an application executing a data protection script, obtaining, in response to the monitoring, script metadata associated with the application and using the script execution information, converting the script metadata to an analytical format to obtain a security profile of the data protection script, applying the security profile to a script processing engine to obtain a script execution recommendation for the data protection script, and implementing the script execution recommendation on the application.

Enhancing security frameworks of a production environment by managing data protection scripts

A method for managing data protection includes initiating, by a backup server, discovery for a new virtual machine (VM) in a production environment, performing, using an active directory listener (AD), listening on active directory (AD) applications in the production environment, wherein the new VM executes one of the AD applications, and wherein the one of the AD applications comprises a set of AD objects and a directory service for managing the set of AD objects, storing, based on the listening, monitored changes to obtain stored changes in the AD applications, generating a change report based on the stored changes, and using the change report to perform an incremental backup of the new VM and store a VM backup of the new VM and an AD application backup of the one of the AD applications in a backup storage system.

Active directory data protection by leveraging virtual machine backup with change notification-based active directory backup

Techniques described herein relate to a method for performing data protection services for limited access cloud data. The method includes obtaining, by a data manager, an initial cloud service provider (CSP) proxy generation request from a user; in response to obtaining the initial (CSP) proxy generation request: creating an authentication account in a CSP directory based on the initial CSP proxy generation request; instantiating a CSP proxy in an on-premises CSP using authentication information associated with the authentication account; storing the authentication information; and associating the user with the authentication information and the CSP proxy, wherein after the associating the CSP proxy can access limited access cloud data and cloud resources of the on-premises CSP.

Method and system for performing authentication and object discovery for on-premises cloud service providers

A method and system for machine learning based predictions of upgrade testing outcomes for information technology (IT) environments. At least with respect to computing, an upgrade may entail the replacement of a product—in the form of hardware, software, and/or firmware—with a newer or better version, which may serve to bring the product up to date, improve the characteristic(s) of the product, and/or resolve any issue(s) inflicting the product. Further, through the process of upgrade testing, an upgrade may be assessed to determine its impact on an operability of varying environments following application of the upgrade thereon. Moreover, each environment may reflect a different history of product upgrades that had been applied thereon prior to the upgrade being tested. The disclosed method and system, accordingly, propose a framework directed to ascertaining the post-upgrade outcomes of actual IT environments using machine learning applied to post-upgrade outcomes of simulated IT environments.

Machine learning based predictions of upgrade testing outcomes for information technology environments

One example method includes, within a microservice architecture: (i) obtaining, via a monitor engine, a resource utilization associated with a set of parameters for each microservice within a consistency group, wherein each microservice within the consistency group is associated with a particular distributed operation, and wherein the consistency group defines, for each microservice within the consistency group, one or more threshold values associated with each parameter of the set of parameters, (ii) determining, via an analytical engine, whether resource utilization satisfies a particular threshold of the one or more threshold values associated with a particular parameter of the set of parameters for a particular microservice within the consistency group, and (iii) based upon resource utilization satisfying the particular threshold of the particular parameter for the particular microservice within the consistency group, implementing a self-healing process to selectively modify resource allocation for one or more microservices within the consistency group.

Systems and methods for consistency group based self healing

Embodiments described herein relate to methods, systems, and non-transitory computer readable mediums storing instructions for creating and executing migration workflows to replicate or migrate data (collectively referred to herein as 'migration') from one device or set of devices to another device or set of devices (e.g., from one computing environment to another). The method of migration involves determining periods of time when the application has decreased use or idle time. This decreased use or idle time is used to determine the optimal time to perform a migration of the application. Based on the calculated migration time as well as the time it takes to load the application after migration, the maintenance planner can alert users and help insure a successful migration.

Application usage and auto maintenance driven migration of applications and their dependencies

Embodiments described herein relate to methods, systems, and non-transitory computer readable mediums storing instructions for creating and executing migration workflows to replicate or migrate data (collectively referred to herein as 'migration') from one device or set of devices to another device or set of devices (e.g., from one computing environment to another). The method of migration involves using a slicing customizer to assign the applications, or parts of the applications, to network slice queues based on predetermined rules. The slices in the queues are then migrated by a network slicing controller.

Context driven network slicing based migration of applications and their dependencies

A method for performing an application migration operation, the method includes initiating the application migration operation to migrate an application from a source device to a target device, where the source device includes a source data migration agent and the target device includes a target data migration agent. The method also includes initiating an active scan. Further, the method includes establishing a secure data path between the source device and the target device. Moreover, the method includes making a first determination, using the active scan, that the network traffic or the source performance metrics are indicative of suspicious activity and logging information about the suspicious activity. The method also includes making a second determination that the application migration operation is complete and terminating the active scan and the secure data path based on the second determination.

Application migration vulnerability and device performance monitoring

A method for managing data protection includes initiating, by a backup server, identifying an active directory (AD) application on the VM, wherein the AD application comprises a set of AD objects and a directory service for managing the set of AD objects, in response to identifying the AD application, installing a new AD listener in the production environment, performing listening on the AD application in the production environment to detect changes to the set of AD objects, monitoring, by the backup server, generating a VM backup of the VM and an AD application backup of the AD application, and storing the VM backup and the AD application backup in a backup storage system, based on the VM backup generation, and based on the listening, performing a backup schedule analysis on the backup schedule, and based on the backup schedule analysis, performing a backup schedule modification on the backup schedule.

Active directory object observability for backup policy management in a production environment

Detecting the most recent state of an active directory object and recovering using backups or production tombstones

A method for performing a backup operation, the method comprising receiving a backup request for an asset, partitioning, based on available capacity in a proxy infrastructure, a plurality of slices of the asset into a plurality of backup sessions, wherein each backup session comprises a separate portion of the slices, wherein the plurality of slices are associated with a queue, sending a first reservation request to the proxy infrastructure, wherein the first reservation request specifies the plurality of backup sessions, making a first determination that a first portion of the plurality of backup sessions was successfully reserved and that a second portion of the plurality of backup sessions was unsuccessfully reserved, sending a request to initiate the first portion of the plurality of backup sessions on the proxy infrastructure, and sending the second portion of the plurality of backup sessions to the queue based on the first determination.

Preventing resource starvation in backup session

A method for managing file based backups (FBBs) includes obtaining, by a FBB metadata file operating in a production host and from an application, a shared access request for a plurality of virtual machines (VMs) to access a FBB, accessing a FBB metadata file associated with the FBB to determine file data accessible to the plurality of VMs, performing an attribute analysis on the FBB metadata file, wherein the storage location attributes are each associated with a storage location of a portion of the file data in a backup storage system, generating a shared virtual disk in the production host based on the attribute analysis, wherein the shared virtual disk maps the file data to the storage locations, generating the plurality of VMs, wherein the VMs read from and write to the shared virtual disk, and enabling access to the virtual machines by the application.

Managing use of a shared virtual disk for accessing data in file based backups by multiple virtual machines

In general, embodiments relate to a method for managing a technical support (TS) session on a technical support system. The embodiments include receiving TS correspondence from a client, wherein the TS correspondence is associated with the TS session, classifying the TS correspondence to assign it a question classification, based on the question classification, making a determination that the TS correspondence matches at least one prior received TS correspondence, wherein the at least one prior received TS correspondence is associated with the TS session, and visually identifying the TS correspondence and the at least one prior received TS correspondence on a graphical customer interface (GUI) of the technical support system.

Method and system to manage tech support interactions using dynamic notification platform

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Bengaluru, India

Shelesh Chopra