International Business Machines Corporation

Lightbits Labs Ltd.

Shmuel Ben-Yehuda

Abel Alkon Gordon

Eran Kirzner

Ofir Efrati

Leah Shalev

Dan S Pelleg

Ilan Shimony

Julian Satran

Zorik Machulsky

Michael Edward Factor

Maor Vanmak

Ofer Hayut

Sagi Grimberg

Thomas Basil Smith, Iii

Ben-Ami Yassour

Alexander Shpiner

Roy Shterman

Jan Leonard Camenisch

Lance Warren Russell

Orit Luba Wasserman

Paula Kim Ta-Shma

Michael Waidner

Guy Laden

Eran Rom

Avishay Traeger

Fabian Trumper

Ton Engbersen

Michael Backes

Eran Borovik

Ziv Tishel

Edward Joseph Seminaro

James Xenidis

Orran Yaakov Krieger

Alain Charles Azagury

Anthony Nicholas Liguori

Itzhack Goldberg

Aviad Zlotnick

William Joseph Armstrong

John Michael Borkenhagen

Alan Frederic Benner

Richard Edwin Harper

Elliot Karl Kolodner

David Breitgand

Nadav Amit

Michael R Hines

Dilma Menezes Da Silva

Moshe Klausner

Amiram Hayardeny

Jonathan Mamou

Nadav Yosef Har'el

Ohad Greenshpan

Eliezer Dekel

Lisa F Spainhower

Roy Geron

Alexander Landau

Nadav Har'El

Jon David Mason

Scott D Guthridge

Alexander Solganik

Avichai Giat

Adir Gabai

In a storage system including a first tier and a second tier a method includes: storing access statistics per object; obtaining a request to perform a write operation; calculating a recency factor to the first object based on the access statistics; and writing the first object to one of the first tier and the second tier, depending on the recency factor. Performing garbage collection process on the second tier may include: reading metadata of an object stored in the second tier; determining whether the object is valid based on the metadata; if the object is invalid, discarding the object; and if the second object is valid: calculating a recency factor for the object based on the access statistics of the object; and moving the object to the first tier or leaving the object in the second tier, depending on the recency factor of the second object.

System and method for data placement in multiple tier storage systems

A computer-based system and method for providing a distributed write buffer in a storage system, including: obtaining a write request at a primary storage server to store data associated with the write request in a non-volatile storage of the primary storage server; and storing the data associated with the write request in a persistent memory of the primary storage server or in a persistent memory of an auxiliary storage server based on presence of persistent memory space in the primary storage server. The write request may be acknowledged by the primary storage server after storing the data associated with the write request in the persistent memory of the primary storage server or in the persistent memory of the auxiliary storage server.

Distributed write buffer for storage systems

Systems and methods of managing data storage, on non-volatile memory (NVM) media, by at least one processor may include: receiving a first storage request, to store a first data block on the NVM media; storing content of the first data block on a cache memory module; scheduling a future movement action of the content of the first data block from the cache memory module to the NVM media; and moving, transmitting or copying the content of the first data block from the cache memory module to at least one NVM device of the NVM media, according to the scheduled movement action.

Method and system for managing data storage on non-volatile memory media

computer-based system and method for selecting a write unit size for a block storage device, includes performing a plurality of sequences of I/O operations to the block storage device, each sequence having a write unit size from a plurality of write unit sizes; collecting performance metrics of the sequences of I/O operations; and selecting the write unit size for the block storage device from the plurality of write unit sizes based on the performance metrics. In some cases, preconditioning is performed prior to performing the plurality of sequences of I/O operations by emptying the block storage device; and writing data to the block storage device to fill the block storage device above a predetermined level.

System and method for selecting a write unit size for a block storage device

A field programmable gate array (FPGA), that includes a trusted FPGA logic, an untrusted FPGA logic and a monitor; wherein the monitor is configured to monitor the untrusted FPGA logic and prevent the untrusted FPGA logic from violating predefined constrains imposed on an operation of the untrusted FPGA logic; wherein the predefined constraints are stored in a memory region of the FPGA that is not accessible to the untrusted FPGA logic.

Storage system having a field programmable gate array

A system and a method of managing storage of cached data objects on a non-volatile memory (NVM) computer storage media including at least one NVM storage device, by at least one processor, may include: receiving one or more data objects having respective Time to Live (TTL) values; storing the one or more data objects and respective TTL values at one or more physical block addresses (PBAs) of the storage media; and performing a garbage collection (GC) process on one or more PBAs of the storage media based on at least one TTL value stored at a PBA of the storage media.

System and method for optimizing write amplification of non-volatile memory storage media

A method for accessing a storage system, the method may include receiving a block call, from a processor that executes an application and by a storage engine of a computer that is coupled to a storage system; generating, by the storage engine and based on the block call, a key value call; and sending the key value call to a key value frontend of the storage system.

Storage system and a method for application aware processing

A storage system that includes an in-line hardware accelerator, a solid-state drive (SSD) unit, a central processing unit (CPU), a volatile memory module, and an accelerator memory module that is coupled to the in-line hardware accelerator or belongs to the in-line hardware accelerator; wherein the in-line hardware accelerator is directly coupled to the SSD unit, the volatile memory and the non-volatile memory; wherein the CPU is directly coupled to the volatile memory and to the non-volatile memory; wherein the in-line hardware accelerator is configured to manage access to the SSD unit; wherein the in-line accelerator is configured to retrieve data stored in the volatile memory module and the non-volatile memory module without involving the CPU.

Storage system having an in-line hardware accelerator

A method and a system for accelerating computer data garbage collection (GC) on a non-volatile memory (NVM) computer storage device may include: monitoring, by a processor, a data validity parameter of at least one physical write unit (PWU), where the PWU may include a plurality of physical data pages of the NVM device; sending at least one GC command from the processor to an accelerator associated with the NVM device, based on the monitored data validity parameter; copying, by the accelerator, a plurality of data-objects stored on at least one first PWU, to a read address space comprised within the accelerator; copying valid data-objects from the read address space to a write address space comprised within the accelerator until the amount of data in the write address space exceeds a predefined threshold; and storing, by the accelerator, the data content in at least one second PWU in the NVM media.

System and method for computer data garbage collection acceleration using peer to peer data transfers

A system and a method for reducing read latency of a storage media associated with at least one host computer, by at least one processor, may include assigning each storage segment of the non-volatile storage to a first Read-Latency Set (RLS) and a second RLS, wherein the first RLS is attributed a read/write mode and the second RLS is attributed a read-only mode; receiving read-requests and write-requests from the at least one host computer, wherein each of said requests is attributed a priority; and serving the received requests according to RLS work modes and according to the priority of each request.

System and method for reducing read latency in storage devices

A system and method of managing non-volatile computer storage media may include: receiving at least one value of at least one parameter, including for example: a size of data objects, a frequency of data write requests, a size of write units (WUs) and a required write amplification value; setting a cyclic write pointer to point to a WU having a logical address space; setting a cyclic garbage collection (GC) pointer to point to a WU having a logical address space, located ahead of the WU pointed by the write pointer; performing GC on the WU pointed by the GC pointer; and incrementing the cyclic GC pointer to point to a next WU according to the value of the cyclic write pointer and according to the at least one received parameter value.

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

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 facilitating direct memory access in a computing system in response to a request to transfer data is provided. The method comprises selecting a thread for transferring the data, wherein the thread executes on a processing core within the computing system; providing the thread with the request, wherein the request comprises information for carrying out a data transfer; and transferring the data according to the request. The method may further comprise: coordinating the request with a memory management unit, such that virtual addresses may be used to transfer data; invalidating a cache line associated with the source address or flushing a cache line associated with the destination address, if requested. Multiple threads can be selected to transfer data based on their proximity to the destination address.

Enhanced direct memory access

A memory management method in a virtualized computing environment is provided, in which a hypervisor implements at least a virtual machine (VM) over a host machine, wherein a guest operating system (OS) is executed over the VM and an application supporting memory management capabilities is executed over the guest OS. The method comprises invoking a first memory manager (java balloon) implemented by the application to deallocate memory allocated to the application for use by the hypervisor, in response to a request submitted by the hypervisor; and invoking a second memory manager (guest balloon) implemented over the guest operating system to deallocate memory allocated to the guest OS, in response to a request submitted by the hypervisor.

Dynamic memory management in a virtualized computing environment

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Haifa, Israel

Shmuel Ben-Yehuda