Emc IP Holding Company LLC

Dell Products Inc.

Emc Corporation

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

Gopal Singh

Malathi R

Anannya Roy Chowdhury

Rejith Mohan M

Niketan Narayan Kalaskar

Aneesh Kumar Gurindapalli

Anay Kishore

Ankit Prakash Gupta

Adrian Dobrean

Peter Armorer

Madhuri Dwarakanath

Shubhashish Mallik

Atishay Jain

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 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

A method for managing a client environment includes obtaining a notification for an auto-generated service request, wherein the auto-generated service request is associated with a configuration of nodes in the client environment, in response to the notification: obtaining metadata associated with the auto-generated service request, analyzing the metadata to extract current node configuration details, comparing the current node configuration details to an node optimization model, making a determination, based on the comparing, that an optimization is required, based on the determination, performing a re-configuration on the nodes in the client environment.

System and method for managing automatic service requests for scaling nodes in a client environment

Embodiments of the invention relate to generating backups of assets. More specifically, in one or more embodiments of the invention, the meta-data generated during the backups is leveraged for detecting cyber-attacks by leveraging backup meta-data, to reduce the amount of data that needs to be scanned by a cyber-security module to detect a cyber-attack, such as a ransomware attack. This allows any attacks to be detected earlier and reduce processing by leveraging the periodic backups that are performed as part of data protection, to detect when an attack has or is occurring. By making these determinations, a quick identification of possible ransomware attacks may be made and other methods of mitigating the attack may be deployed when the method of mitigating the attack might still be useful to mitigate potential damage to a user's data.

Using backup meta-data and analytics for detecting cyber-attacks

System selects application hosts which meet update requirements, then downloads update for instances of application agent corresponding to selected application hosts. System puts selected application hosts in maintenance mode, which prevents selected application hosts from beginning execution of any operations, until updating selected application hosts is completed. System creates backup copy of state of instances of application agent. System generates installation instructions that, when executed by update sessions to install update, enable roll back from updated instances of application agent to state of instances of application agent recorded in backup copy. System initiates update sessions which install update in instances of application agent corresponding to selected application hosts. If update sessions failed to install update in any instances of application agent in cluster of application hosts, system rolls back update for updated instances of application agents in cluster to previous conditions and configurations of instances of application agents.

Generating installation software that rolls back agent updates when cluster updates fail

A method for performing an application migration operation 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 comprises a target data migration agent. The method also includes initiating an active scan of network traffic at a transmission control protocol layer. The method further includes establishing a secure data path between the source device and the target device. In addition, the method includes beginning migration of the application from the source device to the target device using the secure data path. Moreover, the method includes making a first determination, using the active scan, that a data packet is associated with suspicious activity and rejecting the data packet based on the first determination.

End-to-end TCP monitoring during application migration

A method for managing virtual machines includes obtaining a backup request for a full backup of a VM, in response to the backup request: performing a logical slicing of VM data associated with the VM to obtain a set of logical slices, storing the set of backup slices in a backup storage system, after storing the set of backup slices, obtaining backup metadata associated with the VM from the backup storage system, performing, using the backup metadata, a slice file system analysis on each backup slice of the set of backup slices associated with the VM to obtain file system information for a portion of VM data stored in each backup slice of the set of backup slices, and generating, from each backup slice associated with the full backup, a file indexing system for each backup slice in the set of backup slices using the file system information.

File system indexing of backup slices for large virtual machines

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Bengaluru, India

Shelesh Chopra