Min Sheng Li

20190354402, Nov 21, 2019

May 17, 2018

15/982618

- Armonk NY, US
Ruchi MAHINDRU - Elmsford NY, US
Eugen SCHENFELD - South Brunswick NJ, US
Min LI - San Jose CA, US
Valentina SALAPURA - Chappaqua NY, US

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

G06F 9/50
G06F 11/34
G06F 12/0862

Embodiments for optimizing dynamic resource allocations in a disaggregated computing environment. A new workload is assigned to a subset of a plurality of processors, the subset of processors assigned a subset of a plurality of cache devices. A determination is made that the new workload is categorized as a cache-friendly workload having a memory need which can be met primarily by the subset of cache devices by identifying that underlying data necessitated by the new workload resides primarily within the subset of cache devices. Pursuant to determining the new workload is the cache-friendly workload, a cache related action is performed to increase performance of the new workload executed by the subset of processors and commensurately executes additional workloads performed by other ones of the plurality of processors within the disaggregated computing environment.

20190356730, Nov 21, 2019

May 17, 2018

15/982589

- Armonk NY, US
Ruchi MAHINDRU - Elmsford NY, US
Eugen SCHENFELD - South Brunswick NJ, US
Min LI - San Jose CA, US
Valentina SALAPURA - Chappaqua NY, US

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

H04L 29/08

Embodiments for optimizing dynamic resource allocations in a disaggregated computing environment. A data heat map associated with a data access pattern of data elements associated with a workload is maintained. The workload is classified into one of a plurality of classes, each class characterized by the data access pattern associated with the workload. The workload is then assigned to a dynamically constructed disaggregated system optimized with resources according to the one of the plurality of classes the workload is classified into to increase efficiency during a performance of the workload.

20180074741, Mar 15, 2018

Nov 3, 2017

15/803004

- Armonk NY, US
Koushik K. Das - New York NY, US
Min Li - San Jose CA, US
Ruchi Mahindru - Elmsford NY, US
Harigovind V. Ramasamy - Ossining NY, US
Yaoping Ruan - White Plains NY, US
Valentina Salapura - Chappaqua NY, US
Eugen Schenfeld - South Brunswick NJ, US

International Business Machines Corporation - Armonk NY

G06F 3/06

A memory management service occupies a configurable portion of an overall memory system in a disaggregate compute environment. The service provides optimized data organization capabilities over the pool of real memory accessible to the system. The service enables various types of data stores to be implemented in hardware, including at a data structure level. Storage capacity conservation is enabled through the creation and management of high-performance, re-usable data structure implementations across the memory pool, and then using analytics (e.g., multi-tenant similarity and duplicate detection) to determine when data organizations should be used. The service also may re-align memory to different data structures that may be more efficient given data usage and distribution patterns. The service also advantageously manages automated backups efficiently.

20170293447, Oct 12, 2017

Apr 7, 2016

15/092699

- Armonk NY, US
Koushik K. Das - New York NY, US
Min Li - San Jose CA, US
Ruchi Mahindru - Elmsford NY, US
Harigovind V. Ramasamy - Ossining NY, US
Yaoping Ruan - White Plains NY, US
Valentina Salapura - Chappaqua NY, US
Eugen Schenfeld - South Brunswick NJ, US

G06F 3/06
G06F 12/08

A memory management service occupies a configurable portion of an overall memory system in a disaggregate compute environment. The service provides optimized data organization capabilities over the pool of real memory accessible to the system. The service enables various types of data stores to be implemented in hardware, including at a data structure level. Storage capacity conservation is enabled through the creation and management of high-performance, re-usable data structure implementations across the memory pool, and then using analytics (e.g., multi-tenant similarity and duplicate detection) to determine when data organizations should be used. The service also may re-align memory to different data structures that may be more efficient given data usage and distribution patterns. The service also advantageously manages automated backups efficiently.

20170188545, Jul 6, 2017

Mar 23, 2017

15/467578

- Armonk NY, US
MINKYONG KIM - SCARSDALE NY, US
MIN LI - SAN JOSE CA, US
CLIFFORD A. PICKOVER - YORKTOWN HEIGHTS NY, US
VALENTINA SALAPURA - CHAPPAQUA NY, US

A01K 15/02
A01K 29/00
G05D 1/00
B64C 39/02
B64D 47/08

An unmanned aerial vehicle for interacting with a pet. The unmanned aerial vehicle includes a processor-based monitoring device to provide a behavioral assessment of the pet, an activity recommender to select an activity program dependent on the behavioral assessment, a motor mounted on the unmanned aerial vehicle to provide aerial movement based on the activity program, and an activity coordinator to perform a function based on the activity program. The function includes activating feedback outputs upon completion of the activity program.

20170147926, May 25, 2017

Nov 19, 2015

14/945782

- Armonk NY, US
Minkyong Kim - Scarsdale NY, US
Min Li - San Jose CA, US
Clifford A. Pickover - Yorktown Heights NY, US
Valentina Salapura - Chappaqua NY, US
Luna Xu - Yorktown Heights NY, US

G06N 5/04
H04L 12/58

A cognitive publication subscriber method, system, and non-transitory compute readable medium receiving a signal from a signal generating device and a subscriber cognitive state including filtering the signal being received by a plurality of subscribers based on the subscriber cognitive state and routing the signal to a subscriber of the plurality of subscribers, the subscriber cognitive state of the subscriber receiving the signal being based on a threshold.

20170081027, Mar 23, 2017

Sep 21, 2015

14/860003

- Armonk NY, US
MINKYONG KIM - SCARSDALE NY, US
MIN LI - SAN JOSE CA, US
CLIFFORD A. PICKOVER - YORKTOWN HEIGHTS NY, US
VALENTINA SALAPURA - CHAPPAQUA NY, US

B64C 39/02
A01K 15/00
G05D 1/00

An unmanned aerial vehicle for interacting with a pet. The unmanned aerial vehicle includes a processor-based monitoring device to provide a behavioral assessment of the pet, an activity recommender to select an activity program dependent on the behavioral assessment, a motor mounted on the unmanned aerial vehicle to provide aerial movement based on the activity program, and an activity coordinator to perform a function based on the activity program. The function includes activating feedback outputs upon completion of the activity program.

20160373573, Dec 22, 2016

Jun 19, 2015

14/744564

- Armonk NY, US
Minkyong Kim - Scarsdale NY, US
Min Li - San Jose CA, US
Clifford A. Pickover - Yorktown Heights NY, US
Valentina Salapura - Chappaqua NY, US

H04M 3/02

A method for providing a cognitive alert control framework for a mobile device, wherein the mobile device includes an alert mechanism is provided. The method may include detecting, by a processor, a call being initiated by a caller using a first mobile device to a recipient using a second mobile device. The method may also include determining a cognitive state of the caller. The method may further include determining a cognitive state of the recipient. The method may include analyzing a relationship between the caller and the recipient based on the determined cognitive state of the caller and the determined cognitive state of the recipient. The method may also include determining a level of alert associated with second mobile device based on the analyzed relationship. The method may include invoking a ringtone characteristic on the second mobile device based on the determined level of alert.