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Aashish Parikh Phones & Addresses

  • San Jose, CA
  • Cupertino, CA
  • Santa Clara, CA
  • Redwood City, CA
  • 1000 Escalon Ave, Sunnyvale, CA 94085
  • Gainesville, FL
  • 20308 Pinntage Pkwy, Cupertino, CA 95014

Work

Position: Clerical/White Collar

Education

Degree: High school graduate or higher

Professional Records

Medicine Doctors

Aashish Parikh Photo 1

Aashish R. Parikh

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Specialties:
Psychiatry
Work:
VA Medical Center Mental Health
4500 S Lancaster Rd STE 116A, Dallas, TX 75216
(214) 857-0805 (phone), (214) 857-0917 (fax)

Adult ADHD Clinic Of North Texas
3901 Arlington Highlands Blvd STE 200, Arlington, TX 76018
(817) 719-3736 (phone), (817) 695-5056 (fax)
Education:
Medical School
University of Texas Medical School at San Antonio
Graduated: 2004
Procedures:
Psychiatric Diagnosis or Evaluation
Psychiatric Therapeutic Procedures
Conditions:
Depressive Disorders
Post Traumatic Stress Disorder (PTSD)
Anxiety Dissociative and Somatoform Disorders
Anxiety Phobic Disorders
Attention Deficit Disorder (ADD)
Languages:
English
Spanish
Description:
Dr. Parikh graduated from the University of Texas Medical School at San Antonio in 2004. He works in Dallas, TX and 1 other location and specializes in Psychiatry. Dr. Parikh is affiliated with Dallas VA Medical Center and William P Clements University Hospital.

Publications

Us Patents

Resource Allocation Diagnosis On Distributed Computer Systems

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US Patent:
20140059228, Feb 27, 2014
Filed:
Aug 25, 2012
Appl. No.:
13/594812
Inventors:
Aashish Parikh - Santa Clara CA, US
Assignee:
VMware, Inc. - Palo Alto CA
International Classification:
G06F 15/16
US Classification:
709226
Abstract:
A system and method for performing a resource allocation diagnosis on a distributed computer system includes computing current resource allocation of the distributed computer system using a current snapshot of the distributed computer system. The current snapshot includes configurations and resource usage information of at least some components of the distributed computer system. The system and method also includes computing improved resource allocation of the distributed computer system using a modified version of the current snapshot of the distributed computer system and outputting the current resource allocation and the improved resource allocation for the resource allocation diagnosis.

Remote Service For Executing Resource Allocation Analyses For Computer Network Facilities

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US Patent:
20140059229, Feb 27, 2014
Filed:
Aug 25, 2012
Appl. No.:
13/594814
Inventors:
Aashish Parikh - Santa Clara CA, US
Assignee:
VMware, Inc. - Palo Alto CA
International Classification:
G06F 15/16
US Classification:
709226
Abstract:
A system and method for performing remote resource allocation analyses on distributed computer systems utilizes a snapshot of a target distributed computer system obtained at a distributed computer system, which is transmitted to a remote resource allocation module so that a remote resource allocation analysis can be performed on the snapshot of the target distributed computer system. The snapshot includes configurations and resource usage information of at least some components of the target distributed computer system.

Resource Allocation Analyses On Hypothetical Distributed Computer Systems

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US Patent:
20140059008, Feb 27, 2014
Filed:
Aug 25, 2012
Appl. No.:
13/594810
Inventors:
Aashish Parikh - Santa Clara CA, US
Assignee:
VMWARE, INC. - Palo Alto CA
International Classification:
G06F 7/00
G06F 17/30
US Classification:
707639, 707E17032, 707E17005
Abstract:
A system and method for performing resource allocation analyses on hypothetical distributed computer systems uses a user-modified snapshot of a hypothetical distributed computer system to execute a resource allocation analysis. The user-modified snapshot includes configurations and resource usage information of at least some components of the hypothetical distributed computer system.

Automated Scaling Of Application In Virtual Data Centers

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US Patent:
20200089521, Mar 19, 2020
Filed:
Jul 26, 2019
Appl. No.:
16/523235
Inventors:
- Palo Alto CA, US
Aashish Parikh - Cupertino CA, US
International Classification:
G06F 9/455
G06F 9/50
Abstract:
A system and method for autoscaling a multi-tier application, that has components executing on a plurality of tiers of a virtual data center, allocates resources to each of the plurality of tiers based on cost and performance. An application performance is determined, and a new application performance is estimated based at least partially on an application reservation and an application limit. An optimized utility of the application is calculated based on the cost to execute the application, the application reservation, and the application limit. A scaling factor for each tier is then determined to scale up or down a number of virtual machines operating in each of the tiers.

Resource Allocation Diagnosis On Distributed Computer Systems

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US Patent:
20190158582, May 23, 2019
Filed:
Jan 2, 2019
Appl. No.:
16/237898
Inventors:
- Palo Alto CA, US
Aashish Parikh - Cupertino CA, US
International Classification:
H04L 29/08
G06F 9/50
H04L 29/06
H04L 12/58
Abstract:
Disclosed are aspects of resource allocation diagnosis for distributed computer systems. In one example, a user interface creates a user-modified version of a snapshot of a distributed computing system. A hypothetical resource allocation is determined for the user-modified version of the snapshot. The hypothetical resource allocation is calculated based on at least one of load balancing and resource scheduling. The hypothetical resource allocation for the user-modified version of the snapshot is implemented in the distributed computing system.

Adaptive Power Management Of A Cluster Of Host Computers Using Predicted Data

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US Patent:
20180374129, Dec 27, 2018
Filed:
Aug 7, 2018
Appl. No.:
16/056913
Inventors:
- Palo Alto CA, US
Aashish Parikh - Cupertino CA, US
International Classification:
G06Q 30/02
G06F 9/50
G06F 11/30
G06F 1/32
H04L 29/08
H04L 29/06
G06Q 50/06
G06F 1/26
Abstract:
Aspects of performing power management operations in a distributed computer system are described. In some aspects, predicted demand data is generated for clients executed in a cluster of host computers. The predicted demand data is based on observed resource demands of the clients. A power management setting for a time period is determined. The power management setting is based on the predicted demand data. A host computer is caused to power-down or power-up in order to apply the power management setting.

Remote Service For Executing Resource Allocation Analyses For Distributed Computer Systems

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US Patent:
20180367468, Dec 20, 2018
Filed:
Aug 27, 2018
Appl. No.:
16/113175
Inventors:
Aashish Parikh - Cupertino CA, US
Assignee:
VMware, Inc. - Palo Alto CA
International Classification:
H04L 12/911
G06F 11/30
G06F 11/34
G06F 9/50
Abstract:
A system and method for performing remote resource allocation analyses on distributed computer systems utilizes a snapshot of a target distributed computer system obtained at a distributed computer system, which is transmitted to a remote resource allocation module so that a remote resource allocation analysis can be performed on the snapshot of the target distributed computer system. The snapshot includes configurations and resource usage information of at least some components of the target distributed computer system.

Resource Allocation Diagnosis On Distributed Computer Systems

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US Patent:
20180167455, Jun 14, 2018
Filed:
Jan 4, 2018
Appl. No.:
15/862081
Inventors:
- Palo Alto CA, US
Aashish Parikh - Cupertino CA, US
International Classification:
H04L 29/08
G06F 9/50
H04L 29/06
H04L 12/58
Abstract:
Disclosed are aspects of resource allocation diagnosis for distributed computer systems. In one example, a current snapshot of a distributed computing system is created. A current resource allocation of the distributed computing system is computed using the current snapshot of the distributed computing system. A modified snapshot is generated using the current snapshot. The modified snapshot includes a user modification. A hypothetical resource allocation is computed using the modified snapshot. A user interface includes the current resource allocation and the hypothetical resource allocation.
Aashish G Parikh from San Jose, CA, age ~43 Get Report