Resumes
Resumes
Sanjay Ramanujan Phones & Addresses
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Sammamish, WA
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Issaquah, WA
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Tucson, AZ
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Kirkland, WA
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4571 Hazeltine Ct, Chandler, AZ 85249
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Santa Clara, CA
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Kiona, WA
Publications
Us Patents
Resource Planning To Handle Contact Volume Across A Plurality Of Contact Channels
View pageUS Patent:
20080172275, Jul 17, 2008
Filed:
Jan 11, 2007
Appl. No.:
11/622340
Inventors:
Sanjay Ramanujan - Chandler AZ, US
Andrea E. Fisher - Tucson AZ, US
Andrea E. Fisher - Tucson AZ, US
International Classification:
G06Q 10/00
US Classification:
705 8
Abstract:
Various embodiments of a system and method for determining staffing requirements or other resource requirements for a plurality of contact channels are disclosed. A contact volume forecast may be performed at a beginning of a season. The contact volume forecast may predict variability in contact volume over a plurality of time periods in the season for each of the contact channels. A resource plan may be determined based on the contact volume forecast. The resource plan may indicate an amount of resources required for each contact channel for each of the plurality of time periods in the season. For at least one time period, the resource plan may specify that resources are to be shifted into a first contact channel from one or more other contact channels.
System And Method For Forecasting Contact Volume
View pageUS Patent:
20080172286, Jul 17, 2008
Filed:
Jan 11, 2007
Appl. No.:
11/622345
Inventors:
Sanjay Ramanujan - Chandler AZ, US
Andrea E. Fisher - Tucson AZ, US
Andrea E. Fisher - Tucson AZ, US
International Classification:
G06Q 10/00
US Classification:
705 10
Abstract:
Various embodiments of a planning and execution process used to forecast contact volumes that will occur over the course of a season and determine resources necessary to handle the contact volumes are disclosed. The planning and execution process may be used to determine staffing resources necessary to service contact volumes across a plurality of support channels. The contact volume forecast may be continually updated over the course of the season, and different models may be used to generate the contact volume forecast at different times during the season.
Cloud Computing Capacity Management System Using Automated Fine-Grained Admission Control
View pageUS Patent:
20220245001, Aug 4, 2022
Filed:
Feb 2, 2021
Appl. No.:
17/165904
Inventors:
- Redmond WA, US
Fernando GONZALEZ TODISCO - Bellevue WA, US
Karthikeyan SUBRAMANIAN - Redmond WA, US
Sanjay RAMANUJAN - Issaquah WA, US
Sorin IFTIMIE - Sammamish WA, US
Xing wen WANG - Redmond WA, US
Yunus MOHAMMED - Redmond WA, US
Vi Lam NGUYEN - Redmond WA, US
Rostislav SUDAKOV - Redmond WA, US
Fernando GONZALEZ TODISCO - Bellevue WA, US
Karthikeyan SUBRAMANIAN - Redmond WA, US
Sanjay RAMANUJAN - Issaquah WA, US
Sorin IFTIMIE - Sammamish WA, US
Xing wen WANG - Redmond WA, US
Yunus MOHAMMED - Redmond WA, US
Vi Lam NGUYEN - Redmond WA, US
Rostislav SUDAKOV - Redmond WA, US
International Classification:
G06F 9/50
G06F 11/34
G06F 11/34
Abstract:
A cloud computing capacity management system can include a fine-grained admission control layer, a policy engine, and an enforcement layer. The fine-grained admission control layer can be configured to ingest capacity signals and create a capacity mitigation policy, based at least in part on the capacity signals, to protect available capacity of a cloud computing system for prioritized users. The capacity mitigation policy can be directed to users of the cloud computing system. The policy engine can be configured to control how the capacity mitigation policy is applied to the cloud computing system. The enforcement layer can be configured to handle incoming resource requests and to enforce resource limits based on the capacity mitigation policy as applied by the policy engine.
Capacity Management In A Cloud Computing System Using Virtual Machine Series Modeling
View pageUS Patent:
20200285525, Sep 10, 2020
Filed:
Mar 8, 2019
Appl. No.:
16/297350
Inventors:
- Redmond WA, US
Maitreyee Ramprasad JOSHI - Seattle WA, US
Vinayak Ramnath KARNATAKI - Kirkland WA, US
Neha KESHARI - Bellevue WA, US
Gowtham NATARAJAN - Redmond WA, US
Yash PUROHIT - Bothell WA, US
Sanjay RAMANUJAN - Sammamish WA, US
Karthikeyan SUBRAMANIAN - Redmond WA, US
Ambrose Thomas TREACY - Woodinville WA, US
Shandan ZHOU - Kenmore WA, US
Maitreyee Ramprasad JOSHI - Seattle WA, US
Vinayak Ramnath KARNATAKI - Kirkland WA, US
Neha KESHARI - Bellevue WA, US
Gowtham NATARAJAN - Redmond WA, US
Yash PUROHIT - Bothell WA, US
Sanjay RAMANUJAN - Sammamish WA, US
Karthikeyan SUBRAMANIAN - Redmond WA, US
Ambrose Thomas TREACY - Woodinville WA, US
Shandan ZHOU - Kenmore WA, US
International Classification:
G06F 9/50
G06N 5/04
G06F 11/34
G06F 11/30
G06N 5/04
G06F 11/34
G06F 11/30
Abstract:
A method for minimizing allocation failures in a cloud computing system without overprovisioning may include determining a predicted supply for a virtual machine series in a system unit of the cloud computing system during an upcoming time period. The predicted supply may be based on a shared available current capacity and a shared available future added capacity for the virtual machine series in the system unit. The method may also include predicting an available capacity for the virtual machine series in the system unit during the upcoming time period. The predicted available capacity may be based at least in part on a predicted demand for the virtual machine series in the system unit during the upcoming time period and the predicted supply. The method may also include taking at least one mitigation action in response to determining that the predicted demand exceeds the predicted supply during the upcoming time period.