Emc IP Holding Company LLC

Emc International Company

Kfir Wolfson

Jehuda Shemer

Assaf Natanzon

Itay Azaria

Jawad Said

Amos Zamir

Saar Cohen

Amihai Savir

Avitan Gefen

Bing Liu

Amit Lieberman

Yossef Saad

Stav Sapir

Naor Radami

Udi Shemer

Oron Golan

Tomer Kushnir

Aviram Fireberger

Valerie Lotosh

Lev Ayzenberg

Slavik Neymer

David Ben-David

Jonathan Volij

Alexandra Solan

Data protection operations including replication operations are disclosed. Virtual machines, applications, and/or application data are replicated according to at least one strategy. The replication strategy can improve performance of the recovery operation.

Cost-optimized true zero recovery time objective for multiple applications

Masking a data rate of transmitted data is disclosed. As data is transmitted from a production site to a secondary site, the data rate is masked. Masking the data rate can include transmitting at a fixed rate, a random rate, or an adaptive rate. Each mode of data transmission masks or obscures the actual data rate and thus prevents others from gaining information about the data or the data owner from the data transfer rate.

Zero-knowledge protection for side channels in data protection to the cloud

Cost-optimized true zero recovery time objective for multiple applications using failure domains

One example method includes receiving input concerning a mobile IoT device, and the input includes information about a location of the mobile IoT device, information about whether the mobile IoT device is moving, and, when the mobile IoT device is moving, information about the range, speed, and bearing of the mobile IoT device. Next, the method includes generating a predicted location of the mobile IoT device based on the inputs received, using the predicted location of the mobile IoT device and a map of nodes in an environment where the mobile IoT device is located to make a migration decision concerning an application used by the mobile IoT device, and migrating the application from a present location to a node expected to be accessible by the mobile IoT device when the mobile IoT device reaches the predicted location, and the node and present location are physically separated by a distance.

Location based application migration for enhancing lightweight IoT device applications

On-the-fly point-in-time recovery operations are disclosed. During a recovery operation, the PiT being restored can be changed on-the-fly or during the existing recovery operation without restarting the recovery process from the beginning. In one example, this improves recovery time operation (RTO) and prevents aspects of the recovery operation to be avoided when changing to a different PiT.

On the fly pit selection in cloud disaster recovery

One example method includes intercepting an IO issued by an application, writing the IO and IO metadata to a splitter journal in NVM, forwarding the IO to storage, and asynchronous with operations occurring along an IO path between the application and storage, evacuating the splitter journal by sending the IO and IO metadata from the splitter journal to a replication site. In this example, sending the IO and IO metadata from the journal to the replication site does not increase a latency associated with the operations on the IO path.

Achieving near-zero added latency for any point in time OS kernel-based application replication

A data protection system configured to backup a time series database is provided. The data protection system may be integrated with or have access to consolidation policies of the time series database. The backup policy and backup retention policy are set by monitoring the consolidation policy and adjusting the backup policy to ensure that the data in the time series database is protected prior to being downscaled, discarded or otherwise consolidated.

Backup and tiered policy coordination in time series databases

Data protection operations including replication operations that dynamically adapt a topology of replica virtual machines. A data protection system may implement a machine model that is trained using, as input, characteristics of virtual machines. When a failure is predicted, a topology of the replica virtual machines is changed. The topology may also change when changes in the environment are detected. The changes may include redistributing the protected applications to the replica virtual machines and/or scaling the replica virtual machines.

Virtual machine replication strategy based on predicted application failures

On-the-fly PiT selection in cloud disaster recovery

Data protection operations including replication operations from a production site to a replica site are disclosed. An example method assessing applications operating on a production virtual machine based on a replication strategy. The replication strategy is configured to identify related applications and ensure that the related applications are replicated to different replica virtual machines. The applications are then replicated from the production virtual machines to the replica virtual machines according to the replication strategy. The replication strategy can improve performance of the recovery operation.

Cost-optimized true zero recovery time objective for multiple applications based on interdependent applications

One example method includes performing, as part a planned failover procedure, operations that include connecting a replica OS disk to a replica VM, powering up the replica VM, booting an OS of the replica VM, disconnecting a source VM from a network, and connecting replica data disks to the replica VM. IOs issued by an application at the source VM continue to be processed by the source VM while the replica OS disk is connected, the replica VM is powered up, and the OS of the replica VM is booted.

True zero RTO: planned failover

A replication system for data of mobile devices is disclosed. The data of a mobile device is uploaded to stations in an area. Metadata associated with the objects is stored in a centralized or decentralized system. The metadata can be accessed to identify the stations storing the device's objects and the data of the mobile device can then be retrieved from the stations and reconstructed.

Decentralized and distributed continuous replication system for moving devices

One example method includes creating an empty reconstruction stream database, identifying a data time interval, identifying data sources in which data was stored during the data time interval, reading data from the data sources, where the data read out from the data sources are associated with respective timestamps that fall within the data time interval, inserting the read out data into the empty reconstruction stream database so as to create a high resolution data stream, where the data are ordered in the empty reconstruction stream database according to timestamp, processing the data in the high resolution data stream and, based on the processing of the data, identifying and resolving a problem relating to an operating environment in which the data was initially generated.

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Beer Sheva, Israel

Kfir Wolfson