Ram Ravishankar

US Patent:

20110138394, Jun 9, 2011

Filed:

Dec 9, 2009

Appl. No.:

12/634380

Inventors:

Ram Ravishankar - Irvine CA, US
Sham M. Vaidya - Troy MI, US
Paul van Riel - Utrecht, NL

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

International Classification:

G06F 9/50
G06F 15/16

US Classification:

718104, 709201

Abstract:

When a service is requested at a platform in a collaborative services environment, a service orchestration engine accesses a service definition from a repository and schedules a number of tasks at a number of end points in accordance with a number of end point profiles and a number of policies associated with the end points.

US Patent:

20230096966, Mar 30, 2023

Filed:

Sep 27, 2021

Appl. No.:

17/449026

Inventors:

- Armonk NY, US
Rakesh Shinde - Pune, IN
Ram Ravishankar - Irvine CA, US
Harish Bharti - Pune, IN
Grigorij Kaplan - Vilnius, LT
Alberto Eduardo de Queiroz Dias - Rio de Janeiro, BR

International Classification:

G06F 16/27

Abstract:

Datasets can be synchronized across cloud-based computer environments using computer systems. A data map can be generated for source datasets for a plurality of computing environments, respectively, and an activation function can be determined based on the data map, for simultaneously activating a new dataset of a source system from one of the plurality of computing environments. A generation ID (identification) can be shared from the source system with one or more computing environments of the plurality of the computing environments, in response to receiving the activation function. The new dataset of the source system can be replicated across the one or more computing environments. A data synchronization trigger can be activated, using a synchronization coordinator module of the computer, and the data synchronization can be completed across the plurality of computing environments.

US Patent:

20210263735, Aug 26, 2021

Filed:

Feb 26, 2020

Appl. No.:

16/801610

Inventors:

- Armonk NY, US
Ram RAVISHANKAR - Irvine CA, US
Sandeep SUKHIJA - Sri Ganganagar, IN
Harish BHARTI - Dublin OH, US

International Classification:

G06F 8/76
G06F 8/65
G06F 8/36
G06F 9/445

Abstract:

A method includes: determining, by a computing device, transactions of a monolithic application; ranking, by the computing device, the transactions using predefined rules; selecting, by the computing device, a candidate transaction from the ranked list; determining, by the computing device, lines of application code of the monolithic application associated with the candidate transaction; mapping, by the computing device, respective ones of the determined lines of application code to a first operation and a second operation, wherein the first operation and the second operation are different types of operation; and defining, by the computing device, a target state design based on CQRS (Command Query Responsibility Segregation), the target state design including a first microservice that performs the first operation and a second microservice that performs the second operation.

US Patent:

20180046951, Feb 15, 2018

Filed:

Aug 12, 2016

Appl. No.:

15/235973

Inventors:

- Armonk NY, US
Rohit Ranchal - Cambridge MA, US
Ram Ravishankar - Irvine CA, US
Nianjun Zhou - Danbury CT, US

International Classification:

G06Q 10/06

Abstract:

Similar to other Cloud Service, Solution as Services over Cloud, as single tenant technology, also requires support of agility and flexibility as a fundamental feature of Cloud computing. Different from other Cloud services, the agility and flexibility typically are not triggered by the typical performance metrics, but at the business level of metrics. A causality analysis method, system, and non-transitory computer readable medium using a causal graph depicting relationships among observable primitive metrics from infrastructure, middleware, and business metrics and latent business metrics of an application, include identifying a metric value resulting from measuring the system and application metrics, determining an impact of the measurement of the metrics on the business metrics associated with the measurable metrics in the causal graph, and determining an action to take with respect to the impact on the business metric based on the pre-defined business policies.