Zetta Inc.

Sandisk Enterprise IP LLC

Schooner Information Technology, Inc.

Andrew David Eckhardt

Jeffrey A Whitehead

Louis Montulli

Jason Harrison

Darpan Dinker

Casey Cook

Darryl Ouye

Earl T Cohen

Brian Walter O'Krafka

Thomas M McWilliams

Michael John Koster

James M Bodwin

Ray Thro

Shylaja Ramachandra

Thomas A Riddle

Harliv Singh

Rich Webster

Angus Scott

Systems and methods are disclosed for backing up a client data set on a computer by identifying changed files; generating a first sub-file signature for one or more segments of a changed file; subsequently generating a second sub-file signature for each file segment to detect insertions, removals, and rearrangements of data in the file; transmitting one more changed segment(s) in the file; and writing a manifest file reflecting the new target state.

Systems and methods for minimizing network bandwidth for replication/back up

A method for backing up a client data set on a computer by generating a manifest of the client data set and storing the manifest on a remote server along with a server data set corresponding to the client data set; taking a snapshot of the server manifest and data set; and comparing the manifest to the remote server data set and synchronizing the client dataset if a difference is detected.

Asynchronous replication correctness validation

Systems and methods for replicating a client data set on a computer includes replicating the client data set using an application software on the computer; generating a manifest of a target data set during replication containing state of target data reflecting post-update state; and determining differences between the local data and manifest to determine required backup operations.

Back up using locally distributed change detection

A data recovery system includes a plurality of customer computers to be backed-up, each customer computer running a client software to communicate back-up data files; a system management platform coupled to the client software over the Internet, the system management platform receiving inputs from a web user portal to control operations of the client software and the system management platform to back up the customer computer; and two or more data storage silos, each including: a plurality of storage directors communicating with the client software; and a clustered data storage array.

Systems and methods for on-line backup and disaster recovery

A method for retrieving versioned data in a non-volatile memory is provided. The method includes: (1) receiving a read request for a data object, (2) in response to the request, determining, via an object table, whether one or more versions of the data object exist in memory, (3) in accordance with a determination that one or more versions exist in memory, obtaining, via the object table, a respective location where each of the one or more versions of the data object are stored, and (4) reading at least one of the one or more versions of the data object from the respective location into volatile memory.

Low level object version tracking using non-volatile memory write generations

Systems and methods are disclosed for backing up a computer with a distributed meta data store by splitting meta data from file data; storing the meta data for each file in a separate file; mapping the file data and meta data to an arbitrary file system; and reconstructing files for the arbitrary file system.

Distributed data store

Approaches for a distributed storage system that comprises a plurality of nodes. Each node, of the plurality of nodes, executes one or more application processes which are capable of accessing persistent shared memory. The persistent shared memory is implemented by solid state devices physically maintained on each of the plurality of nodes. Each the one or more application processes, maintained on a particular node, of the plurality of nodes, communicates with a shared data fabric (SDF) to access the persistent shared memory. The persistent shared memory comprises a scoreboard implemented in shared DRAM memory that is mapped to a persistent storage. The scoreboard provides a crash tolerant mechanism for enabling application processes to communicate with the shared data fabric (SDF).

Cluster of processing nodes with distributed global flash memory using commodity server technology

Data versioning in a non-volatile memory. An object key associated with a data object is created. An index into an object table is generated using the object key. A version number is stored in conjunction with the data object stored in the non-volatile memory. In an object linked-list, the object key and the location information of the data object in the non-volatile memory are stored. A record associated with the data object is created in an object table. The record includes an index, a reference to the object linked-list, and the version number. The index is generated based on the object key.

Data replication in a distributed node system including one or more nodes. A consensus protocol for failure recovery is implemented. Data items and information relating to consensus protocol roles of participant nodes are stored in at least some of the plurality of nodes. Logical logs stored in at least some of the plurality of nodes are created. The logical logs contain additional consensus protocol information including container metadata and replicated data.

Failure recovery using consensus replication in a distributed flash memory system

A distributed database system has multiple compute nodes each running an instance of a database management system (DBMS) program that accesses database records in a local buffer cache. Records are persistently stored in distributed flash memory on multiple storage nodes. A Sharing Data Fabric (SDF) is a middleware layer between the DBMS programs and the storage nodes and has API functions called by the DBMS programs when a requested record is not present in the local buffer cache. The SDF fetches the requested record from flash memory and loads a copy into the local buffer cache. The SDF has threads on a home storage node that locate database records using a node map. A global cache directory locks and pins records to local buffer caches for updating by a node's DBMS program. DBMS operations are grouped into transactions that are committed or aborted together as a unit.

Growing community of inventors

Menlo Park, CA, United States of America

Andrew David Eckhardt