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Sharath Vaddempudi Phones & Addresses

  • Issaquah, WA
  • Irving, TX
  • 1573 Vista Club Cir, Santa Clara, CA 95054 (408) 727-7185
  • 1526 Vista Club Cir, Santa Clara, CA 95054
  • 4215 Verdigris Cir, San Jose, CA 95134 (408) 603-1424
  • Richardson, TX
  • Sunnyvale, CA
  • 1573 Vista Club Cir, Santa Clara, CA 95054 (408) 781-7820

Work

Position: Executive, Administrative, and Managerial Occupations

Education

Degree: Graduate or professional degree

Resumes

Resumes

Sharath Vaddempudi Photo 1

Sharath Vaddempudi

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Business Records

Name / Title
Company / Classification
Phones & Addresses
Sharath Vaddempudi
Managing
MROADS LLC
Computer Related Services · Computer Related Services Custom Computer Programing · Nonclassifiable Establishments
108 Westminster Dr, The Colony, TX 75056

Publications

Us Patents

Service Alert Messages For Customer Premises Communication Devices

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US Patent:
20130074118, Mar 21, 2013
Filed:
Sep 15, 2011
Appl. No.:
13/233069
Inventors:
Kapil Gupta - Wesley Chapel FL, US
Manohar R. Kesireddy - Lewisville TX, US
Sharath B. Vaddempudi - Irving TX, US
Syam S. Suri - Wesley Chapel FL, US
Sudarshan Chavva - Carrollton TX, US
Ashok Kumar - Wesley Chapel FL, US
Assignee:
VERIZON PATENT AND LICENSING INC. - Basking Ridge NJ
International Classification:
H04N 7/025
US Classification:
725 32
Abstract:
A method includes providing identifying information for a customer premises communication device to a provider network, wherein the customer premises communication device is a node of a customer premises network. The method may further include registering a communication channel between the customer premises communication device and the provider network. In addition, the method may include receiving at least one service alert message from the provider network using the communication channel. The type of service alert message is selected based on the customer premises communication device.

Method For Sharing Ownership And Revenue With Customers

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US Patent:
20120089501, Apr 12, 2012
Filed:
Oct 10, 2010
Appl. No.:
12/901545
Inventors:
Sharath Vaddempudi - Irving TX, US
International Classification:
G06Q 40/00
US Classification:
705 37
Abstract:
A new ownership and revenue sharing method where the customers have an opportunity to gain part ownership of the business, nurturing competition among the customers. In this method, Native Owners are the actual owners and/or stakeholders who have all the rights and initial majority of ownership. This could be the Founders, Investors and other primary stakeholders. The customers as a group would become the Secondary Stakeholders in the business. The total percentage of ownership given or dedicated or declared to the customers is at the discretion of the Native Owners/Primary Stakeholders. The maximum allowable secondary ownership is defined by the Primary stakeholders.Customers could earn ownership in the business with/without having to purchase any goods or services. The size of the secondary ownership distributed to the customers is to the discretion of the Native Owners and also depends on the business, the industry and other factors.

Time Series Data Analysis

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US Patent:
20210392199, Dec 16, 2021
Filed:
Aug 26, 2021
Appl. No.:
17/446032
Inventors:
- SANTA CLARA CA, US
Vinayak Raju Kuraku - Hyderabad, IN
Sharath Vaddempudi - Kirkland WA, US
International Classification:
H04L 29/08
H04L 12/24
G06F 30/27
G06F 11/34
Abstract:
The present approach relates to the use of time series analyses to estimate times or time intervals when a user of IT resources is likely to schedule or request that an operation is run on those services. In certain implementations, the present approach performs forecasting using time series data and supervised machine learning techniques. These techniques may be used to help predict future times when an operation or operations may be requested for execution. Based on these predicted future time, automations (e.g., the automated execution of operations) may be scheduled so as to effectively utilize available resources and efficiently perform the operations.

Time Series Data Analysis

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US Patent:
20210135951, May 6, 2021
Filed:
Oct 31, 2019
Appl. No.:
16/670630
Inventors:
- SANTA CLARA CA, US
Vinayak Raju Kuraku - Hyderabad, IN
Sharath Vaddempudi - Kirkland WA, US
International Classification:
H04L 12/24
Abstract:
The present approach relates to the use of time series analyses to estimate times or time intervals when a user of IT resources is likely to schedule or request that an operation is run on those services. In certain implementations, the present approach performs forecasting using time series data and supervised machine learning techniques. These techniques may be used to help predict future times when an operation or operations may be requested for execution. Based on these predicted future time, automations (e.g., the automated execution of operations) may be scheduled so as to effectively utilize available resources and efficiently perform the operations.

Cloud Service For Cross-Cloud Operations

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US Patent:
20210136004, May 6, 2021
Filed:
Jan 6, 2021
Appl. No.:
17/142787
Inventors:
- Santa Clara CA, US
Kavish Jain - Bellevue WA, US
Sharath Vaddempudi - Kirkland WA, US
International Classification:
H04L 12/911
H04L 29/08
H04L 29/12
Abstract:
A disclosed cloud service (CS) enables cross-cloud access to data resources and cross-cloud execution of orchestrations, including automations. The CS includes a peer-to-peer (P2P) cloud orchestrator service (COS) and a cloud broker service (CBS). The COS enables P2P identification and communication routing between different cloud computing environments. The CBS enables cross-cloud access to data and orchestrations (e.g., one or more scripts, workflows, and/or scheduled jobs) from different cloud computing environments. Additionally, the data center may be configured to route all orchestration calls of a data center through the CS, such that the CS can ensure that references to local data and orchestrations are handled within the data center, while references to data and orchestrations of a different data center are suitably routed to be handled by a corresponding CS of the appropriate data center.

Computational Instance Batching And Automation Orchestration Based On Resource Usage And Availability

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US Patent:
20210064420, Mar 4, 2021
Filed:
Aug 26, 2019
Appl. No.:
16/551416
Inventors:
- Santa Clara CA, US
Wenhui Li - Sammamish WA, US
Sharath Vaddempudi - Kirkland WA, US
Kavish Jain - Bellevue WA, US
Shaoying Zou - Bellevue WA, US
Swathi Pattapu - Kirkland WA, US
International Classification:
G06F 9/48
H04L 29/08
H04L 29/06
Abstract:
An embodiment may involve server devices arranged into pods, each server device hosting computational instances, and a central computational instance configured to: (i) obtain per-pod lists of the instances hosted by the pods; (ii) determine a maximum number of the instances to arrange into batches; (iii) determine a group size for groups of the instances that are to be placed into the batches; (iv) execute a first phase that involves removing per-pod groups from the per-pod lists and adding them to the batches, until less of the instances than the group size remains in each of the per-pod lists; (v) execute a second phase that involves removing one of the instances from the per-pod lists and adding it to the batches, until none of the instances remains in any of the per-pod lists; and (vi) schedule one or more of the automations to take place in the data center.

Systems And Methods For Acquiring Server Resources At Schedule Time

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US Patent:
20200236059, Jul 23, 2020
Filed:
Jan 23, 2019
Appl. No.:
16/255660
Inventors:
- Santa Clara CA, US
Wenhui Li - Sammamish WA, US
Sharath Vaddempudi - Bellevue WA, US
Atul Saini - Bellevue WA, US
International Classification:
H04L 12/911
H04L 29/08
H04L 29/06
Abstract:
Systems and methods are disclosed that acquire server resources at the time of scheduling an automated instance-related task, such as an instance migration task, and prior to starting the automated task (e.g., prior to determining scheduling conflicts, creating a change request, or creating a move context associated with starting the instance migration task). Advantageously, if acquiring the server resources fails, an orchestration server performing the automated task can simply retry acquiring the server resources, thus avoiding restarting the automated task and re-performing steps of the automated task, thus avoiding unnecessary overhead.
Sharath B Vaddempudi from Issaquah, WA, age ~49 Get Report