Dell Products Inc.

Emc IP Holding Company LLC

Anay Kishore

Parminder Singh Sethi

Nithish Kn

Shelesh Chopra

Atishay Jain

Hung The Dinh

Shree Ramakrishna Rathinasamy

Sabu K Syed

Kannappan Ramu

Kanika Kapish

Praveen Kumar

Parmnder Singh Sethi

Kunal Visoulia

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 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 a data replication operation includes: obtaining, by a first security module (FSM), UTC-based system time of a first storage area network (SAN) infrastructure; generating, by the FSM, a secure string based on the UTC-based system time and a configuration parameter set by a user of the first SAN infrastructure; encrypting, by the FSM, the secure string to generate an encrypted secure string; appending, by the FSM, the encrypted secure string to a data replication request to generate an encrypted secure string-appended request, sending, by the FSM, the encrypted secure string-appended request to a second SAN infrastructure; making, after intercepting the encrypted secure string-appended request and by a second security module (SSM), a determination that the encrypted secure string-appended request is valid; and initiating, by the SSM, the operation from the first SAN infrastructure to the second SAN infrastructure by sending a notification to the FSM.

Method and system for secure and synchronous storage area network (SAN) infrastructure to SAN infrastructure data replication

A method for managing data availability includes making a first determination by a first security module (FSM) that a first storage area network (SAN) infrastructure in a first data center has experienced a failure. The method also includes generating a secure string based on a first configuration parameter. Further, the method includes appending the secure string to a SAN failure notification to generate a secure string-appended request. In addition, the method includes sending the secure string-appended request to a second data center, wherein the second data center is selected based on a second configuration parameter. Moreover, the method includes making a second determination that the encrypted secure string-appended request is valid. Further, the method includes offloading processing of requests sent to the first data center using the second data center.

Method and system for disaster recovery management

A method for performing a data migration operation includes scanning a target device to determine user accounts on the target device. The method also includes migrating data from a source device to the target device and monitoring user authentications of the user accounts on the target device while migrating data from the source device to the target device. Further, the method includes making a determination that a number of user authentications made while migrating data exceeds a threshold value, and stopping, based on the determination, migrating data from the source device to the target device.

Method and system for user authentication during data migration

A method comprises monitoring operation of one or more devices of an edge platform, collecting data corresponding to the operation of the one or more devices, and transmitting the data corresponding to the operation of the one or more devices over at least one communications network, via a first server, to a second server. The steps of the method are executed by a processing device operatively coupled to a memory. The processing device is a component of a network switch located in the edge platform.

Monitoring operation of edge datacenter devices

A method for managing a data center includes: receiving metadata associated with a data center component (DCC); making a first determination that the DCC is valid; analyzing, based on the first determination, the metadata to extract relevant data; obtaining a current state of the DCC based on the relevant data; inferring a future state of the DCC based on the current state of the DCC; obtaining a confidence score of the future state of the DCC based on the relevant data; making a second determination that the confidence score exceeds a predetermined maximum confidence score; generating, based on the second determination, a failure report associated with the DCC, wherein the report comprises at least the current state of the DCC and future state of the DCC; and providing the failure report to a vendor of the DCC to notify an administrator of the vendor.

Method and system for monitoring health and security of data center components via bi-directional proxy

Embodiments described herein relate to methods, systems, and non-transitory computer readable mediums storing instructions for maintaining application instances or contexts across a plurality of geographically distributed nodes. These applications may take the form of web applications and/or databases that are exposed to the Internet and/or other unsecured networks. In order to prevent the loss of these applications due to cyber-attacks or due to day-to-day hardware and/or software failures, an alpha node is established and the remaining nodes are established as beta nodes. When any node goes down one or more embodiments of the invention allow for the orderly and continued operation of the remaining nodes.

Method to provide disaster recovery with reverse proxy across geographically distributed data lakes

A method comprises receiving a data packet configured in accordance with a first network protocol version, and converting a header portion of the data packet to be configured in accordance with a second network protocol version. The converting comprises identifying a source network protocol address for a source of the data packet in the header portion in accordance with the second network protocol version, and identifying a destination network protocol address for a destination of the data packet in the header portion in accordance with the second network protocol version.

Conversion of data packets based on internet protocol version

A method for recovering a data center, includes making a determination, by a cloud module, that the data center has experienced a failure; sending, by the cloud module and in response to the determination, an infrastructure file including data center infrastructure information to a client device; receiving, after sending the infrastructure file, a confirmation from the client device that at least a portion of the data center infrastructure is installed; sending, from the cloud module to the data center module, a snapshot in response to the confirmation; deploying, by the data center module, the snapshot at the data center; validating, by the data center module, complete connectivity of data center; sending, by the data center module, a heartbeat signal to the cloud module in response to the validating; and sending, by the cloud module, a standby signal to disaster recovery resources in response to receiving the heartbeat signal.

Method and system for data center disaster recovery

Method and system for data protection and data availability

A method for managing a data center includes: intercepting a data transfer request; making a determination that the request is valid; initiating, based on the determination, a data transfer operation by sending a notification to a client; analyzing a data package to infer components of the package, in which the package comprises data chunks and client-based hash values (CBHVs) associated with the data chunks; generating, based on the analysis, data center-based hash values (DCHVs) corresponding to the data chunks; populating a hash mapping lookup table to store the CBHVs and DCHVs; obtaining storage location information of the data chunks from storage; updating, based on the information, a storage location map; and initiating notification of a user of the client about completion of the operation.

Method and system for secure and efficient federated data deduplication in a storage area network (SAN) infrastructure

Methods, apparatus, and processor-readable storage media for cognitive device management using artificial intelligence are provided herein. An example computer-implemented method includes determining an initial telemetry data collection frequency value for a given device by applying machine learning techniques to historic data pertaining to additional devices; collecting an initial set of telemetry data associated with the given device and one or more subsequent sets of telemetry data associated with the given device in accordance with the initial telemetry data collection frequency value; performing a comparison of the one or more subsequent sets of telemetry data to the initial set of telemetry data; updating the initial telemetry data collection frequency value by applying the machine learning techniques to information resulting from the comparison; determining automated actions related to the given device by utilizing a neural network in connection with the collected telemetry data; and automatically initiating the automated actions.

Cognitive device management using artificial intelligence

A system and method model activities in the production environment as sequences of microservices, and identify unusual activities by analyzing these sequences. In particular, a directed graph of usual activity is formed as a basis for determining unusual activities. Next, activities that were actually performed are determined by statistically analyzing records of microservice invocation in application diagnostic files. These activity sequences are overlaid on the directed graph to determine relative fit by using a trace coverage percentage score. Application instances or activities with low relative fit are deemed suspicious. If the low fit persists for an extended duration, then the instances or activities are deemed unusual and an individual is alerted to begin a manual review.

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Bihar, India

Anay Kishore