Subramaniam V Krishnan

US Patent:

20230029888, Feb 2, 2023

Filed:

Dec 20, 2021

Appl. No.:

17/556781

Inventors:

- Redmond WA, US
Joyce Yu CAHOON - Woodinville WA, US
Yiwen ZHU - San Francisco CA, US
Ya LIN - Bellevue WA, US
Subramaniam Venkatraman KRISHNAN - San Jose CA, US
Neetu SINGH - Duvall WA, US
Raymond TRUONG - Seattle WA, US
XingYu LIU - Seattle WA, US
Maria Alexandra CIORTEA - Bucharest, RO
Sreraman NARASIMHAN - Sammamish WA, US
Pratyush RAWAT - Snoqualmie WA, US
Haitao SONG - Sammamish WA, US

International Classification:

G06F 9/50
G06F 16/21

Abstract:

Methods, systems, apparatuses, and computer-readable storage mediums described herein are directed to determining and recommending an optimal compute resource configuration for a cloud-based resource (e.g., a server, a virtual machine, etc.) for migrating a customer to the cloud. The embodiments described herein utilize a statistically robust approach that makes recommendations that are more flexible (elastic) and account for the full distribution of the amount of resource usage. Such an approach is utilized to develop a personalized rank of relevant recommendations to a customer. To determine which compute resource configuration to recommend to the customer, the customer’s usage profile is matched to a set of customers that have already migrated to the cloud. The compute resource configuration that reaches the performance most similar to the performance of the configurations utilized by customers in the matched set is recommended to the user.

US Patent:

20210124739, Apr 29, 2021

Filed:

Aug 11, 2020

Appl. No.:

16/990506

Inventors:

- Redmond WA, US
Matteo INTERLANDI - Seattle WA, US
Fotios PSALLIDAS - Bellevue WA, US
Rathijit SEN - Madison WI, US
Kwanghyun PARK - Hudson OH, US
Ivan POPIVANOV - Redmond WA, US
Subramaniam VENKATRAMAN KRISHNAN - Santa Clara CA, US
Markus WEIMER - Kirkland WA, US
Yuan YU - Cupertino CA, US
Raghunath RAMAKRISHNAN - Bellevue WA, US
Carlo Aldo CURINO - Woodinville WA, US
Doris Suiyi XIN - Berkeley CA, US
Karla Jean SAUR - Seattle WA, US

Assignee:

Microsoft Technology Licensing, LLC - Redmond WA

International Classification:

G06F 16/2458
G06N 5/04
G06N 20/00
G06F 16/28

Abstract:

The description relates to executing an inference query relative to a database management system, such as a relational database management system. In one example a trained machine learning model can be stored within the database management system. An inference query can be received that applies the trained machine learning model on data local to the database management system. Analysis can be performed on the inference query and the trained machine learning model to generate a unified intermediate representation of the inference query and the trained model. Cross optimization can be performed on the unified intermediate representation. Based upon the cross-optimization, a first portion of the unified intermediate representation to be executed by a database engine of the database management system can be determined, and, a second portion of the unified intermediate representation to be executed by a machine learning runtime can be determined.

US Patent:

20170134526, May 11, 2017

Filed:

Jan 20, 2017

Appl. No.:

15/411641

Inventors:

- Redmond WA, US
Carlo Curino - San Jose CA, US
Kannababu Karanam - Sammamish WA, US
Subramaniam Venkatraman Krishnan - Redmond WA, US
Christopher William Douglas - Mountain View WA, US
Sriram Rao - San Jose CA, US
Mostafa Elhemali - Seattle WA, US
Chuan Liu - Seattle WA, US

International Classification:

H04L 29/08

Abstract:

Embodiments are directed to progressively migrating source computer nodes where the source computer nodes perform a computer-implemented service. In one embodiment, a computer system determines that execution of the performed service is to be migrated from the source computer nodes to target computer nodes. The computer system groups the source computer nodes into multiple source subgroups, where each source subgroup includes at least one source computer node. The computer system then schedules creation of target subgroups of target nodes. These target subgroups include at least one source computer node and, themselves, correspond to a source subgroup. The computer system activates a first target subgroup corresponding to a first source subgroup, and deactivates the first source subgroup. In this manner, the first target subgroup replaces the first source subgroup. Still further, the target subgroups are scheduled to be created only after the first source subgroup has been deactivated.

US Patent:

20150188989, Jul 2, 2015

Filed:

Dec 30, 2013

Appl. No.:

14/143797

Inventors:

- Redmond WA, US
Carlo Curino - San Jose CA, US
Kannababu Karanam - Sammamish WA, US
Subramaniam Venkatraman Krishnan - Redmond WA, US
Christopher William Douglas - Mountain View CA, US
Sriram Rao - San Jose CA, US
Mostafa Elhemali - Seattle WA, US
Chuan Liu - Seattle WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

H04L 29/08

Abstract:

Embodiments are directed to progressively migrating source computer nodes where the source computer nodes perform a computer-implemented service. In one embodiment, a computer system determines that execution of the performed service is to be migrated from the source computer nodes to target computer nodes. The computer system groups the source computer nodes into multiple source subgroups, where each source subgroup includes at least one source computer node. The computer system then schedules creation of target subgroups of target nodes. These target subgroups include at least one source computer node and, themselves, correspond to a source subgroup. The computer system activates a first target subgroup corresponding to a first source subgroup, and deactivates the first source subgroup. In this manner, the first target subgroup replaces the first source subgroup. Still further, the target subgroups are scheduled to be created only after the first source subgroup has been deactivated.