Emc IP Holding Company LLC

David Zlotnick

Assaf Natanzon

Boris Shpilyuck

Yossef Saad

Inbar Helbitz

Aviad Yisrael Gispan

Roi Wexler

Natali Gaash

One example method includes chunking a respective disk of each of a plurality of virtual machines (VM) to create a respective plurality of chunks associated with each of the VMs, creating, based on the chunking process, a cluster comprising one or more of the VMs, creating a VM template whose data and disk structure match respective data and disk structures of each of the VMs in the cluster, and in response to a file operation involving a first one of the VM disks, defragmenting the first VM disk so that a disk structure of the first VM disk is the same as a disk structure of the VM template.

Smart de-fragmentation of file systems inside VMs for fast rehydration in the cloud and efficient deduplication to the cloud

One example method includes performing a data management transaction, such as a data read operation, a data write operation, or a data delete operation, generating transaction metadata relating to the data management transaction, transmitting the transaction metadata to a blockchain network, and receiving, from the blockchain network, confirmation that the transaction metadata has been stored in a distributed ledger associated with the blockchain network.

Blockchain technology for regulatory compliance of data management systems

Smart de-fragmentation of file systems inside VMS for fast rehydration in the cloud and efficient deduplication to the cloud

One example method includes creating a backup of data, creating metadata associated with the backup, hashing the backup to create a backup hash, obtaining a key from a blockchain, generating an aggregate hash of a combination that includes the key and the backup hash, and transmitting the aggregate hash to a blockchain network. Because the aggregate hash is not modifiable when stored in a blockchain, an immutable record exists that establishes when a particular backup was created.

Blockchain technology for data integrity regulation and proof of existence in data protection systems

Systems and methods for replicating a device image to a storage such as the cloud. The cloud is seeded with a base image that corresponds to the device. Changes between the contents of the device and the base image are identified, uploaded to the cloud, and applied to the image. The changes are tracked continuously and the image in the cloud can thus be used to restore the device to any point in time. The cloud image can also be used in a cloud based virtual machine that provides a user of the device with access to the device's contents via the cloud based image.

Cloud image replication of client devices

One example method includes receiving input concerning a boot order sequence, where the input includes VM metadata, entering a training phase which includes generating a boot sequence rule based on the input, using the boot sequence rule to generate a proposed boot sequence, performing the proposed boot sequence, and gathering information concerning performance of the proposed boot sequence. The gathered information can be used as a basis to generate a modified boot sequence.

Adaptive system for smart boot sequence formation of VMs for disaster recovery

One example method includes receiving data segments that are not already part of a full disk image of a backup, storing the data segments in storage, determining whether or not an aggregate total of data segments in the storage, that are not already part of a full disk image of a backup, equals or exceeds a threshold, when the aggregate total of data segments in the storage equals or exceeds the threshold, creating a full disk image of a backup that includes the data segments in storage, and storing the created full disk image of the backup to a recovery disk.

Time based SLA compliance for disaster recovery of business critical VMs

Methods, systems, and computer program products for cloud to cloud disaster recovery are disclosed. Exemplary embodiments may: discover one or more virtual machines associated with a first auto scaling group; and generate a plan to backup the one or more virtual machines to a second cloud.

Cloud to cloud disaster recovery

Embodiments for systems and methods of providing a boot order for containers in a cloud native application environment by collecting container environment data from a first container site; determining dependencies and connections between the containers and applications executed within the containers based on a number of system parameters; calculating a recommended order for booting or rebooting the containers during a disaster recovery process; and communicating the recommended order to a system administrator through a graphical user interface (GUI) for acceptance or modification by the system administrator.

Automatically configuring boot sequence of container systems for disaster recovery

Automatic network configuration for the recovery of virtual machines. A network configuration can be automatically provisioned by discovering the network topology of a source site and then matching the virtual machines to their locations or subnets in the network topology. The network is then implemented on a target site such that the required connectivity is present in the recovered target site even when the infrastructure of the source site and the target site are different.

Automatic network configuration in data protection operations

Systems and methods for automatically configuring security groups during data protection operations including disaster recovery operations. In preparation for recovering a source site to a target site, security information at the source site is collected and classified. The classified security information is stored as a disaster recovery plan at least for security aspects of the disaster recovery process. The disaster recovery plan can be implemented at the target site such that security risks are minimized and connectivity errors are minimized during the recovery process.

Automatic security configurations in disaster recovery

A method and system for provenance-based data backups. Specifically, the method and system disclosed herein entail generating and, subsequently, using data provenance to filter which collections of data, produced through the data mining of big data, should be replicated and stored in backup storage.

Method and system for provenance-based data backups

Virtual machines can be discretely tested for disaster recovery or other data protection operations. To perform these types of data protection operations, a single virtual machine or a set of virtual machines is migrated to a target site and the migrated virtual machines are replaced with dummy virtual machines at the source site. The dummy virtual machines replicate communications. This allows the migrated virtual machines to be tested in the context of disaster recovery to a target site such as the cloud.

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Tel Aviv, Israel

David Zlotnick