Emc IP Holding Company LLC

Dell Products Inc.

Vinod Durairaj

Suren Kumar

Vaideeswaran Ganesan

Senthil Kumar Urkavalan

Parminder Singh Sethi

Veena Ramarao

Sathish Kumar Ponnusamy

Santosh Kumar Sahu

Veena Rao

Vasudevu Lakhinana

Karthick Nagarajan

Kumar Prashant

Sushbi Lal

Suren Kumar J

Debadatta Mishra

One example method includes receiving data from a container data collector (CDC), and the data concerns a container, analyzing the data and, based on the analyzing, identifying a security tool needed to scan the container, drawing the security tool from a knowledge lake, executing the security tool to perform a vulnerability scan of the container, based on the executing of the security tool, generating and analyzing a report concerning the vulnerability scan, and transmitting the report, and results of the analyzing, to an alert and action stage.

Method to intelligently manage the end to end container compliance in cloud environments

One example method includes collecting container information concerning a container, analyzing the container information to identify a security tool needed to perform a vulnerability scan of the container, accessing the security tool from a knowledge lake, running the security tool on the container information to identify a security vulnerability of the container, based on the running of the security tool, generating an alert indicating that the container has the security vulnerability, capturing the security vulnerability and, based on the captured security vulnerability, updating a container image that was used to spawn the container.

Embodiments for providing end-to-end automated contextual and differentiated application level replication by dynamically creating replication profiles for asynchronous or synchronous replication at runtime to maintain any relevant service level agreement requirements. Based on relevant operating information, data sources are identified as critical and non-critical servers and their data is tagged accordingly in the replication application by using an analytics engine. The information and tags are used to produce a trained model for machine learning processes that can generated predictions for future replication operations. An error handler identifies erroneous predictions and provides a fallback mechanism to avoid any customer replication service level agreement breach at any given time.

Contextual replication profile creation based on data criticality

Technology described herein is generally directed towards an efficient process to selectively boot (e.g., initialize, re-boot, re-initialize and/or the like) one or more nodes of a server node system based on contextual information that can be automatically acquired. In an embodiment, a system can comprise a processor, and a memory that stores executable instructions that, when executed by the processor, can facilitate performance of operations. The operations can comprise monitoring operational activity of a node of a software-defined object storage system. The operations can comprise, in response to occurrence of a negative activity event determined based on a result of the monitoring, determining whether a node reboot of the node is to be implemented. The operations can comprise, based on the operational activity analyzed, setting a reboot flag indicating that the node reboot is to comprise a reboot of less than all components of the node.

Clustered object storage platform rapid component reboot

A method and system for intelligent power distribution management. Specifically, the disclosed method and system propose allocating (and deallocating) reserve or supplemental electrical power to host devices dynamically based on intelligent analyses of host device telemetry including, but not limited to, workload criticality, workload computing resource utilization, hardware configuration metadata, various operational parameters describing host device state, and measurements (as well as other information) pertinent to electrical power usage.

Method and system for intelligent power distribution management

A method for securing the movement of virtual machines (VMs) between hosts. The method includes obtaining a first VM movement request; in response to obtaining the first VM movement request, identifying a first VM of the VMs and a first targeted host of the hosts associated with the first VM movement request using VM metadata and host metadata; making a first determination that the first targeted host is registered; in response to making the first determination, initiating the movement of the first VM to the first targeted host; and initiating, after the movement of the first VM, encryption of communication between the first VM and the first targeted host.

Method and system for securing the movement of virtual machines between hosts

Systems and methods for dynamically moving virtual machine (VM) data based upon context are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: select a VM having a plurality of VM files; identify, among the plurality of VM files, a movable VM file; and transfer the movable VM file from a first storage tier to a second storage tier based upon a usage classification associated with the movable VM file.

Dynamically moving virtual machine (VM) data based upon context

Embodiments described herein relate to a method for new endpoint addition. The method may include receiving, during execution of a migration workflow, a request to add a new endpoint to the migration workflow. The execution of the migration workflow includes performing a first migration job associated with a first consistency group and assigned a first priority; making a first determination that the first priority is higher than a priority threshold; based on the first determination, completing the first migration job; performing, after completing the first migration job, a new endpoint addition action set. The method may also include adding, based on the new endpoint migration job priority, the new endpoint migration job to a queue of remaining migration jobs of the migration workflow.

Method to create and perform appropriate workflow for datacenter migration

In one embodiment, at least one processing device is configured to assign a plurality of devices of a cluster to a logical host group where at least one of the devices assigned to the logical host group has a network time parameter that is different than another of the devices assigned to the logical host group. The at least one processing device is further configured to determine a target network time parameter for the logical host group based at least in part on network time parameter related information about a given device of the plurality of devices assigned to the logical host group and to cause the plurality of devices to configure their respective network time parameters to the target network time parameter based at least in part on the assignment of the plurality of devices to the logical host group.

Network time parameter configuration based on logical host group

A method includes identifying a source virtual machine to be migrated from a source domain to a target domain, extracting file-in-use metadata and shared asset metadata from virtual machine metadata of the source virtual machine, and copying one or more files identified in the file-in-use metadata to a target virtual machine in the target domain. For each of one or more shared assets identified in the shared asset metadata, the method further includes (a) determining whether or not the shared asset already exists in the target domain, (b) responsive to the shared asset already existing in the target domain, updating virtual machine metadata of the target virtual machine to specify the shared asset, and (c) responsive to the shared asset not already existing in the target domain, copying the shared asset to the target domain and updating virtual machine metadata of the target virtual machine to specify the shared asset.

Integrity-preserving cold migration of virtual machines

A topology configuration system receives a graphic representation comprising object images of information handling systems to be configured for operating as a complex collection of information handling systems, uses artificial intelligence and deep learning to analyze images on the graphic representation and determine specific information handling systems present in the complex collection of information handling systems. A requirement list is used to create a configuration job. Sets of user instructions are sent to a user to guide the user and sets of device instructions are sent to each information handling system so that the user can configure the plurality of information handling systems to operate as the complex collection of information handling systems. Validation packets may be sent to each information handling system to confirm the complex collection of information handling systems is set up quickly and with little or no troubleshooting.

Method to configure a complex collection of information handling systems

Embodiments described herein relate to a method for orchestrating migrations using workflows. The method may include: receiving, by a migrator, a migration request; invoking, by the migrator, an endpoint information collector (EIC) to obtain endpoint information from a source endpoint and a target endpoint; performing a pre-requisite check using the endpoint information; analyzing, by a migration analyzer, the endpoint information to obtain a migration workflow; and performing a migration using the migration workflow.

This disclosure relates to a method, article of manufacture, and apparatus for finding a shortest path in a cloud. In some embodiments, this includes obtaining one or more nodes associated with a tenant, obtaining hop counts for each of the one or more nodes, determining a threshold hop count based on the hop counts, identifying one or more local nodes based on the threshold hop count, and associating the one or more local nodes with the tenant.

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Bengaluru, India

Vinod Durairaj