Atlantis Computing, Inc.

Hiveio Inc.

Macrometa Corporation

Chetan Venkatesh

Sagar Shyam Dixit

Kartikeya Iyer

Durga Gokina

Vinodh Dorairajan

Shravan Gaonkar

Pu Paul Zhang

Qian Zhang

Vikram Auradkar

Seshan Parameswaran

Jin Liu

Abhijit P Hoskeri

Disclosed herein are exemplary systems and methods for garbage collection and/or deletion in a document database. The methods may include, for each change in a first change set, determining whether a first characteristic of the change is superseded by a second characteristic of a corresponding change in a second change set. The change of the first change set and the change of the second change set can pertain to a document attribute. The method may include determining whether the first change set is redundant with the second change set if each change of the first change set is superseded by a corresponding change of the second change set, and eliminating the first change set from the document database when the first change set is redundant with second change set.

Methods and systems for garbage deletion in a document database

A method and apparatus for utilizing virtual machines to pool memory from disparate server systems that may have disparate types of memory is described. The method may include establishing communication between a pool virtual machine and two or more publisher virtual machines. The method may also include aggregating, by the pool virtual machine, portions of memory from each of two or more publisher servers to generate a pool of memory, and providing an application with access to the pool of memory, through the pool virtual machine.

Aggregating memory to create a network addressable storage volume for storing virtual machine files

A method and apparatus is disclosed herein for converting a virtual machine from an initial hypervisor format to a target hypervisor format utilizing deduplication metadata. The method may include generating a copy of a virtual machine by replication of deduplication metadata for one or more files corresponding to the virtual machine. Furthermore, the method may include opening the copy of the virtual machine from the replicated deduplication metadata. The method may also include converting the replicated deduplication metadata from an initial hypervisor format to a target hypervisor format to generate a converted virtual machine.

Method and apparatus for conversion of virtual machine formats utilizing deduplication metadata

Techniques for fast provisioning of virtual machine images using deduplication metadata are described, including receiving a request to copy a first virtual machine to form a second virtual machine, identifying a first portion of memory comprising data for the first virtual machine; and forming the second virtual machine based on the first portion of memory comprising data for the first virtual machine, wherein forming the second virtual machine further comprises linking the second virtual machine to the first portion of memory comprising data for the first virtual machine, and implementing a second portion of memory to store data for the second virtual machine independent of the first virtual machine.

Method and apparatus for replicating virtual machine images using deduplication metadata

Techniques associated with deduplication metadata access in a deduplication file system are described, including determining a state of a file system, reading a table associated with the file system, including reading block numbers associated with files in the file system, the table being stored in a storage, wherein the block numbers include a block number and logical block number, determining whether each of the block numbers exists in a reconstruction map, modifying the reconstruction map, obtaining a hash value associated with each of the block numbers, reading data blocks from a disk using the plurality of block numbers, and constructing deduplication metadata in system memory (i.e., RAM) using a read of the data blocks.

Deduplication metadata access in deduplication file system

Embodiments of the invention relate generally to software, data storage, and virtualized computing and processing resources. More specifically, systems and apparatuses are described for aggregating nodes to form an aggregated virtual storage for a virtualized desktop environment. In one embodiment, a virtual storage system includes servers including processors and memories, and an aggregated virtual storage including the memories, each of the memories being associated with a corresponding server. Also included is a storage aggregator processor coupled to a memory including executable instructions to generate a data structure for storage in each memory in an associated server in the servers, each of the data structures being configured to store a reference to duplicative data stored in a first number of servers in the servers. The duplicative data provides redundancy when a second number of servers, or fewer, in the servers are inaccessible.

Systems and apparatuses for aggregating nodes to form an aggregated virtual storage for a virtualized desktop environment

Methods and systems to disperse and collate I/O from virtual machines (VMs) among a plurality of near line controllers for parallelization of I/O's (parallel reads and parallel writes) and for providing redundancy for stored VM data is disclosed.

Method for dispersing and collating I/O's from virtual machines for parallelization of I/O access and redundancy of storing virtual machine data

Techniques for deduplication of virtual machine files in a virtualized desktop environment are described, including receiving data into a page cache, the data being received from a virtual machine and indicating a write operation, and deduplicating the data in the page cache prior to committing the data to storage, the data being deduplicated in-band and in substantially real-time.

Deduplication of virtual machine files in a virtualized desktop environment

Methods and systems to intelligently cache content in a virtualization environment using virtualization software such as VMWare ESX or Citrix XenServer or Microsoft HyperV or Redhat KVM or their variants are disclosed. Storage IO operations (reads from and writes to disk) are analyzed (or characterized) for their overall value and pinned to cache if their value exceeds a certain defined threshold based on criteria specific to the New Technology File System (NTFS) file-system. Analysis/characterization of NTFS file systems for intelligent dynamic caching include analyzing storage block data associated with a Virtual Machine of interest in accordance with a pre-determined data model to determine the value of the block under analysis for long term or short term caching. Integer values assigned to different types of NTFS objects in a white list data structure called a catalog that can be used to analyze the storage block data.

Growing community of inventors

San Mateo, CA, United States of America

Chetan Venkatesh