International Business Machines Corporation

Mellanox Technologies, Ltd.

Avishay Traeger

Eran Borovik

Michael Edward Factor

Shmuel Ben-Yehuda

Eran Rom

Paula Kim Ta-Shma

Matthew Albert Huras

Danny Harnik

Dmitry Sotnikov

Zorik Machulsky

Aamer U Sachedina

Kalman Zvi Meth

Ben-Ami Yassour

Alon Horowitz

Vladimir Lipets

Shmuel Ben Yehuda

Ronnie Lazar

Rafael Buchbinder

Roman Speigelman

An apparatus includes an interface and a processor. The interface is configured to communicate with a computing system in which one or more workloads issue storage commands for execution in a storage volume comprising multiple storage blocks. The computing system continually updates a data structure that tracks which of the storage blocks of the storage volume have changed due to the storage commands. The processor is configured, in response to a request to create a copy of the storage volume, to instruct the computing system to (i) create a copy of the data structure and reset the data structure, (ii) create the copy of the storage volume, while continuing to execute the storage commands and update the data structure, and (iii) after the copy of the storage volume is completed, merge the data structure into the copy of the data structure.

Management of changed-block bitmaps

Optimizing read operations to a storage device in a virtualized computing environment. A read system call is received by a virtual machine's (VM) operating system from an application running on the VM for data on a storage device. The VM is hosted by a hypervisor providing access to the storage device in a virtualized computing environment. A virtual file system (VFS) supported by the operating system is caused to call on a first para-virtualized file system (PVFS FE) supported by the operating system to execute the read operation. In response to determining by the PVS FE that the data to be read exists in a data cache of the PVFS FE, executing by the PVS FE the read operation from the cache of the PVFS FE.

Optimizing a file system interface in a virtualized computing environment

A storage appliance system is disclosed which may include at least one application server for locally executing an application, and one or more storage servers in communication with the application server for I/O transmission therebetween. Also disclosed are an application server, a method, and a computer program product.

Storage appliance, application server and method thereof

Systems and methods for optimizing operation of a physical device in a virtualized computing environment are provided. The method comprises monitoring instructions issued by an application running on a virtual machine's (VM) operating system, wherein the VM is hosted by a hypervisor providing access to a physical device connected to a virtualized computing environment; wherein a device driver supported by the operating system issues one or more instructions to an emulated device supported by the hypervisor to control the physical device according to the issued instructions, wherein the emulated device's registers are implemented in memory of the hypervisor and the instructions issued by the device driver are stored in said registers, wherein the hypervisor handles the instructions, in response to learning that the instructions are stored in said registers.

Virtual device emulation via hypervisor shared memory

Systems and methods for optimizing write operations to a storage device in a virtualized computing environment comprise monitoring write operations issued by an application running on a virtual machine's (VM) operating system, wherein the VM is hosted by a hypervisor providing access to a storage device in a virtualized computing environment; and causing a virtual file system (VFS) supported by the operating system to call on a first para-virtualized file system (PVFS FE) supported by the operating system to execute a write operation, in response to determining that the write operation is to write data to the storage device, wherein data that is to be written to the storage device is first written to a VM memory area allocated to the VM and accessible to the hypervisor hosting the VM.

A method for processing data using snapshots is provided. The method comprises generating a primary snapshot of data stored in a first storage medium, wherein the primary snapshot is a copy of the data stored in the first storage medium at a point in time; generating one or more secondary snapshots of the primary snapshot, wherein the secondary snapshots are copies of the data stored on the first storage medium at the point in time; and extracting the data stored in the first storage medium at the point in time by accessing the data included in the secondary snapshots, wherein multiple processing units concurrently transform the extracted data and load the transformed data onto a second storage medium.

Concurrent data processing using snapshot technology

Systems and methods for optimizing read operations from a storage device in a virtualized computing environment are provided. One method comprises monitoring read operations issued by an application running on a virtual machine's (VM) operating system, wherein the VM is hosted by a hypervisor providing access to a storage device in a virtualized computing environment; and causing a virtual file system (VFS) supported by the operating system to call on a first para-virtualized file system (PVFS FE) supported by the operating system to execute a read operation, in response to determining that the read operation is for reading target data from the storage device.

Machines, systems and methods for compression ratio estimation are provided. The method comprises selecting a plurality of sample points in a data stream to compress sample data selected at said sample points according to a first compression method; and computing an average compression ratio contribution over the selected plurality of sample points, wherein compression ratio contribution of a sample point is determined based on the first compression method and data in locality of the sample point, and wherein the locality for the sample point is defined by locations in the data stream, such that said locations potentially affect the sample point's contribution to the compression ratio.

Growing community of inventors

Jerusalem, Israel

Avishay Traeger