Ishan Banerjee, 483287 Fowler Ave, Santa Clara, CA 95051

2012001, Jan 19, 2012

Jul 13, 2010

12/834962

Yury BASKAKOV - Newton MA, US
Alexander Thomas GARTHWAITE - Beverly MA, US
Jesse POOL - Mountain View CA, US
Carl A. WALDSPURGER - Palo Alto CA, US
Rajesh VENKATASUBRAMANIAN - San Jose CA, US
Ishan BANERJEE - Santa Clara CA, US

VMWARE, INC. - Palo Alto CA

G06F 12/10
G06F 12/08
G06F 12/00

711 6, 711162, 711206, 711216, 711E12001, 711E12059, 711E12103

Page data of a virtual machine is represented for efficient save and restore operations. One form of representation applies to each page with an easily identifiable pattern. The page is described, saved, and restored in terms of metadata reflective of the pattern rather than a complete page of data reflecting the pattern. During a save or restore operation, however, the metadata of the page is represented, but not the page data. Another form of representation applies to each page sharing a canonical instance of a complex pattern that is instantiated in memory during execution, and explicitly saved and restored. Each page sharing the canonical page is saved and restored as a metadata reference, without the need to actually save redundant copies of the page data.

2023002, Jan 26, 2023

Nov 19, 2021

17/530500

- Palo Alto CA, US
Preeti Agarwal - San Jose CA, US
Ishan Banerjee - Santa Clara CA, US
Rajesh Venkatasubramanian - San Jose CA, US
Ashish Kaila - San Jose CA, US
Halesh Sadashiv - Bangalore, IN
Valeriy Zhuravlev - San Carlos CA, US

G06F 9/455

Techniques that enable a hypervisor to (1) maintain shared memory pages and (2) handle memory accounting for VMs that are suspended to and resumed from the volatile memory of a host system are provided. Regarding (1), the hypervisor can maintain shared memory pages in volatile memory across the suspend-to-memory and resume-from-memory operations, without having to save their reference counts. Regarding (2), the hypervisor can keep track of the volatile memory reserved and consumed by VMs as they are suspended and resumed, without erroneously double counting that memory.

2023002, Jan 26, 2023

Nov 19, 2021

17/530522

- Palo Alto CA, US
ISHAN BANERJEE - Santa Clara CA, US
PREETI AGARWAL - San Jose CA, US
ASHISH KAILA - San Jose CA, US
HALESH SADASHIV - Bangalore, IN

G06F 9/455

Techniques that enable a hypervisor to (1) maintain shared memory pages and (2) handle memory accounting for VMs that are suspended to and resumed from the volatile memory of a host system are provided. Regarding (1), the hypervisor can maintain shared memory pages in volatile memory across the suspend-to-memory and resume-from-memory operations, without having to save their reference counts. Regarding (2), the hypervisor can keep track of the volatile memory reserved and consumed by VMs as they are suspended and resumed, without erroneously double counting that memory.

2019006, Feb 28, 2019

Aug 31, 2017

15/693292

- Palo Alto CA, US
Preeti Agarwal - San Jose CA, US
Julien Freche - Mountain View CA, US
Xavier Deguillard - Mountain View CA, US
Rajesh Venkatasubramanian - San Jose CA, US
Ishan Banerjee - Santa Clara CA, US

G06F 3/06

Techniques for using non-volatile random access memory (NVM) as volatile random access memory (RAM) are provided. In one set of embodiments, a computer system can detect that an amount of free space in a volatile RAM of the computer system has become low and, in response, can add one or more memory pages from an unused portion of an NVM of the computer system to the system's volatile RAM pool. Conversely, the computer system can detect that an amount of free space in the NVM has become low and, in response, can return the one or more memory pages from the volatile RAM pool back to the NVM.

2017017, Jun 22, 2017

Dec 17, 2015

14/973004

- Palo Alto CA, US
Ishan BANERJEE - Santa Clara CA, US

G06F 3/06

A computer system provides for rapid power-on operations on virtual machines (VMs) with a virtual memory space including a reservation from machine memory and a small or no swap size. When the computer system powers on a VM, the computer system creates a physical memory space for the VM with a size larger than the minimum memory reservation for the VM and a swap space with a size less than the difference between the size of the virtual memory space and the minimum memory reservation. Subsequently, the computer system iteratively decreases the size of the physical memory space for the VM and increases the size of the swap space for the VM until the size of the physical memory space equals the minimum size of the memory reservation, which may be the amount of the virtual space that is guaranteed to be backed by machine memory.

2015016, Jun 11, 2015

Dec 10, 2013

14/101787

- Palo Alto CA, US
Ishan Banerjee - Santa Clara CA, US
Qasim Ali - Santa Clara CA, US
Yury Baskakov - Newton MA, US
Kiran Tati - Santa Clara CA, US
Rajesh Venkatasubramanian - San Jose CA, US

VMare, Inc. - Palo Alto CA

G06F 12/10
G06F 9/455

A system and method are disclosed for improving operation of a memory scheduler operating on a host machine supporting virtual machines (VMs) in which guest operating systems and guest applications run. For each virtual machine, the host machine hypervisor categorizes memory pages into memory usage classes and estimates the total number of pages for each memory usage class. The memory scheduler uses this information to perform memory reclamation and allocation operations for each virtual machine. The memory scheduler further selects between ballooning reclamation and swapping reclamation operations based in part on the numbers of pages in each memory usage class for the virtual machine. Calls to the guest operating system provide the memory usage class information. Memory reclamation not only can improve the performance of existing VMs, but can also permit the addition of a VM on the host machine without substantially impacting the performance of the existing and new VMs.

2015016, Jun 11, 2015

Dec 10, 2013

14/101796

- Palo Alto CA, US
Ishan Banerjee - Santa Clara CA, US
Qasim Ali - Santa Clara CA, US
Yury Baskakov - Newton MA, US
Kiran Tati - Santa Clara CA, US
Rajesh Venkatasubramanian - San Jose CA, US

VMware, Inc. - Palo Alto CA

G06F 12/10
G06F 9/455

A system and method are disclosed for improving operation of a memory scheduler operating on a host machine supporting virtual machines (VMs) in which guest operating systems and guest applications run. For each virtual machine, the host machine hypervisor categorizes memory pages into memory usage classes and estimates the total number of pages for each memory usage class. The memory scheduler uses this information to perform memory reclamation and allocation operations for each virtual machine. The memory scheduler further selects between ballooning reclamation and swapping reclamation operations based in part on the numbers of pages in each memory usage class for the virtual machine. Calls to the guest operating system provide the memory usage class information. Memory reclamation not only can improve the performance of existing VMs, but can also permit the addition of a VM on the host machine without substantially impacting the performance of the existing and new VMs.

2014025, Sep 11, 2014

Mar 5, 2013

13/785235

- Palo Alto CA, US
Ishan Banerjee - Santa Clara CA, US
Kiran Tati - Sant Clara CA, US
Philip Peter Moltmann - Palo Alto CA, US

VMware, Inc. - Palo Alto CA

G06F 12/02

711171

A technique for efficient swap space management creates a swap reservation file using thick provisioning to accommodate a maximum amount of memory reclamation from a set of one or more associated virtual machines (VMs). A VM swap file is created for each VM using thin provisioning. When a new block is needed to accommodate page swaps to a given VM swap file, a block is removed from the swap reservation file and a block is added to the VM swap file, thereby maintaining a net zero difference in overall swap storage. The removed block and the added block may be the same storage block if a block move operation is supported by a file system implementing the swap reservation file and VM swap files. The technique also accommodates swap space management of resource pools.