Weka.io Ltd.

International Business Machines Corporation

Kanael Arditti

Liran Zvibel

Omri Palmon

Maor Ben Dayan

Tomer Filiba

Haim Helman

Ori Peleg

Avner Braverman

Dan Aloni

Maor Ben-Dayan

Artemy Voikhansky

Ben Reuveni

Alex Goltman

Shemer Schwarz

A plurality of computing devices are communicatively coupled to each other via a network, and each of the plurality of computing devices is operably coupled to one or more of a plurality of storage devices. The computing devices may push a point in time to a backend for a distributed storage system.

Pushing a point in time to a backend object storage for a distributed storage system

A plurality of computing devices are communicatively coupled to each other via a network, and each of the plurality of computing devices is operably coupled to one or more of a plurality of storage devices. A plurality of failure resilient address spaces are distributed across the plurality of storage devices such that each of the plurality of failure resilient address spaces spans a plurality of the storage devices. The plurality of computing devices maintains metadata that maps each failure resilient address space to one of the plurality of computing devices. Each of the plurality of computing devices is operable to read from and write to a plurality of memory blocks, while maintaining an extent in metadata that maps the plurality of memory blocks to the failure resilient address space.

File operations in a distributed storage system

One or more computing devices may comprise congestion management circuitry, one or more client file system request buffers, and DESS interface circuitry. The one or more client file system request buffers is/are operable to queue first client file system requests of a first priority level and second client file system requests of a second priority level, where the first priority level is higher priority than the second priority level. The DESS interface circuitry is operable to determine a choking level according to the load on a plurality of DESS resources. Individual load values of the DESS resources are mapped to a composite load value using a first function. The composite load value is mapped to a congestion contribution using a second function. And, the congestion contribution is mapped to a choking level using a third function.

Quality of service management in a distributed storage system

A computing device comprising a frontend and a backend is operably coupled to a plurality of storage devices. The backend comprises a plurality of buckets. Each bucket is operable to build a failure-protected stipe that spans two or more of the plurality of the storage devices. The frontend is operable to encrypt data as it enters the plurality of storage devices and decrypt data as it leaves the plurality of storage devices.

Encryption for a distributed filesystem

A plurality of computing devices are communicatively coupled to each other via a network, and each of the plurality of computing devices is operably coupled to one or more of a plurality of storage devices. The computing devices may use local caches in a coherent manner when accessing the plurality of storage devices.

Implementing coherency and page cache support in a distributed way for files

A system comprises a plurality of computing devices that are communicatively coupled via a network and have a file system distributed among them, and comprises one or more file system request buffers residing on one or more of the plurality of computing devices. File system choking management circuitry that resides on one or more of the plurality of computing devices is operable to separately control: a first rate at which a first type of file system requests (e.g., one of data requests, data read requests, data write requests, metadata requests, metadata read requests, and metadata write requests) are fetched from the one or more buffers, and a second rate at which a second type of file system requests (e.g., another of data requests, data read requests, data write requests, metadata requests, metadata read requests, and metadata write requests) are fetched from the one or more buffers.

Congestion mitigation in a distributed storage system

A plurality of computing devices are communicatively coupled to each other via a network, and each of the plurality of computing devices is operably coupled to one or more of a plurality of storage devices. Each computing device is operable to access one or more memory blocks within the storage devices and maintain a registry over the same one or more memory blocks. The registry may be adaptively resized according to the access of the one or more memory blocks.

Flash registry with on-disk hashing

A plurality of computing devices are communicatively coupled to each other via a network, and each of the plurality of computing devices is operably coupled to one or more of a plurality of storage devices. A plurality of failure resilient stripes is distributed across the plurality of storage devices such that each of the plurality of failure resilient stripes spans a plurality of the storage devices. The plurality of computing devices maintains each failure resilient stripe using a bucket. These buckets are operably split and transferred between the computing devices to balance available computing power and storage access.

Expanding a distributed storage system

A distributed electronic storage system (DESS) comprises congestion management circuitry and data migration circuitry. The congestion management circuitry is operable to determine an amount of congestion in the DESS. The data migration circuitry is operable to control migration of data stored in a first tier of storage to a second tier of storage based on the amount of congestion in the DESS, characteristics of the data, and characteristics of the first tier of storage.

Congestion mitigation in a multi-tiered distributed storage system

A plurality of computing devices are communicatively coupled to each other via a network, and each of the plurality of computing devices is operably coupled to one or more of a plurality of storage devices. Each computing device is operable to compress one or more blocks of data and append a journal in front of the data. The journal and the data are written concurrently to flash memory. Each computing device is also operable to maintain a metadata registry that records changes in the flash memory. In the event of a power failure, the journal and previous journals may be used to verify the state of the metadata registry.

Metadata journal in a distributed storage system

A plurality of computing devices are communicatively coupled to each other via a network, and each of the plurality of computing devices is operably coupled to one or more of a plurality of storage devices. The computing devices may use local caches and storing snapshots in a coherent manner when accessing the plurality of storage devices spread across multiple data centers.

Implementing coherency and page cache support for a storage system spread across multiple data centers

A plurality of failure domains are communicatively coupled to each other via a network, and each of the plurality of failure domains is coupled to one or more storage devices. A failure resilient stripe is distributed across the plurality of storage devices, such that two or more blocks of the failure resilient stripe are located in each failure domain.

Storage system spanning multiple failure domains

A plurality of computing devices are communicatively coupled to each other via a network, and each of the plurality of computing devices is operably coupled to one or more of a plurality of storage devices. The storage devices may be assigned to one of a plurality of memory tiers, and the data in a storage device may be reassigned to another storage device in a different memory tier.

Tiering data strategy for a distributed storage system

A plurality of computing devices are communicatively coupled to each other via a network, and each of the plurality of computing devices is operably coupled to one or more of a plurality of storage devices. A plurality of failure resilient address spaces are distributed across the plurality of storage devices such that each of the plurality of failure resilient address spaces spans a plurality of the storage devices. The plurality of computing devices maintains metadata that maps each failure resilient address space to one of the plurality of computing devices. The metadata is grouped into buckets. Each bucket is stored in the backend of a computing device. Data may be migrated from an external file system to the plurality of storage devices using inode stubs to represent directories and files of the external file system. As the contents of the external file system are copied, the inode stubs are replaced with real inodes.

Data migration in a distributive file system

A plurality of computing devices are communicatively coupled to each other via a network, and each of the plurality of computing devices is operably coupled to one or more of a plurality of storage devices. One or more of the computing devices and/or the storage devices may be used to rebuild data that may be lost due to a power failure.

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Tel Aviv, Israel

Kanael Arditti