Ting He

8433786, Apr 30, 2013

Jun 14, 2009

12/484240

Dakshi Agrawal - Monsey NY, US
Animashree Anandkumar - Cambridge MA, US
Chatschik Bisdikian - Chappaqua NY, US
Ting He - Ossining NY, US
Shoel Perelman - New York NY, US

International Business Machines Corporation - Armonk NY

G06F 15/173
G06F 7/38

709224, 712227

Systems and methods provide a selective instrumentation strategy for monitoring the progress of transactions in a distributed computing system. The monitoring of the transactive processing of jobs is considered through a collection of computer operating stages in a distributed system, using limited information. The monitoring is performed by observing log records (or footprints) produced during each stage of processing in the system. The footprints lack unique transaction identifiers resulting in uncertainties in monitoring transaction instances. The processing stages are selective instrumented to reduce monitoring uncertainty under the given constraints such as limited budget for instrumentation cost.

8489525, Jul 16, 2013

May 20, 2010

12/783782

Chatschik Bisdikian - Chappaqua NY, US
Joel W. Branch - Hamden CT, US
Ting He - Ossining NY, US

International Business Machines Corporation - Armonk NY

G06F 15/18
G06N 3/00
G06N 3/12

706 13

A system includes a storage medium. The storage medium includes a model generation module that generates a candidate model based on a discrepancy and a model template. The storage medium also includes a model evaluation module that selectively updates a system model based on the candidate model.

8577818, Nov 5, 2013

Sep 6, 2012

13/604933

Chatschik Bisdikian - Chappaqua NY, US
Joel W. Branch - Hamden CT, US
Ting He - Ossining NY, US

International Business Machines Corporation - Armonk NY

G06F 15/18
G06N 3/00
G06N 3/12

706 13

A method includes performing, on a processor, evaluating log data; determining at least one discrepancy between the log data and a system model; generating a candidate model based on the discrepancy and a model template; and updating the system model based on the candidate model.

8594023, Nov 26, 2013

Dec 16, 2011

13/328259

Ting He - Piermont NY, US
Yonghua Lin - Beijing, CN
Qing Wang - Beijing, CN
Murtaza Zafer - White Plains NY, US
Hai Zhan - Beijing, CN

International Business Machines Corporation - Armonk NY

H04Q 7/00
H04Q 7/24

370328, 370338

Spectrum access for Internet of things (IOT) applications including receiving information about expected use by a primary user of a spectrum band in a radio frequency spectrum. The spectrum band is classified into at least two working modes based on the expected use. The spectrum band is sensed to determine a current access pattern of the primary user. Based on the classifying and the sensing, one of the working modes is selected as a current working mode of the primary user. Transmissions are scheduled on the spectrum band using a current schedule that is responsive to the current working mode of the primary user. If the current working mode of the primary user changes, the sensing, selecting, scheduling, and determining whether the current working mode has changed are re-performed. Otherwise, the transmission scheduling and determining if the current working mode has changed are re-performed.

8601483, Dec 3, 2013

Mar 22, 2011

13/069030

Ting He - Piermont NY, US

International Business Machines Corporation - Armonk NY

G06F 9/46
G06F 9/455

718104, 718105

A mechanism is provided for reassigning virtual machines to resources in a computing environment. Monitoring data is collected about virtual machine request history and resource usage in a form of time series for measured indicators. Forecasted time series are computed for the measured indicators over a time window by utilizing time series forecasting. A new assignment is computed by executing a snapshot based assignment algorithm on the forecasted time series. The new assignment is used for reassignment of virtual machines on the resources in the computing environment.

20130190026, Jul 25, 2013

Jan 24, 2012

13/357204

Dakshi Agrawal - Monsey NY, US
Ting He - Piermont NY, US
Ramya Raghavendra - White Plains NY, US

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

H04W 24/00
H04B 7/24

455507

According to exemplary embodiments, a method for resource management of network systems includes sampling channel states of a first set of channels from at least one base station associated with a radio network controller providing an application and estimating channel states of a second set of channels from the at least one base station, wherein the estimated channel states are based on previously sampled channel states and currently sampled channel states. The method further includes adapting at least one runtime parameter of the application based on the sampled channel states of the first set of channels and the estimated channel states of the second set of channels.

20170155557, Jun 1, 2017

Nov 30, 2015

14/954188

- Armonk NY, US
Ting He - Piermont NY, US
Liang Ma - White Plains NY, US

H04L 12/24
H04L 29/08
H04L 12/26

Monitoring a network is provided. A set of predicted network topology snapshot graphs of nodes in the network are generated based on a set of network topology prediction models for the network. A subset of the nodes is selected as monitors in the set of predicted network topology snapshot graphs of the network so that each link in a set of selected network links is identifiable using end-to-end measurements between the monitors. Network states of interest are determined in the set of selected network links within a selected time window based on the end-to-end measurements between the monitors.

20160248850, Aug 25, 2016

Apr 29, 2016

15/142206

- Armonk NY, US
Ting He - Piermont NY, US
Ramya Raghavendra - White Plains NY, US
Yang Song - San Jose CA, US

H04L 29/08
H04L 12/24
H04M 15/00

Techniques to adaptively launch/replace applications and services on edge devices in a cellular infrastructure and/or adaptively place content and computation at the edge devices based on logic at the network core are provided. In one aspect, a method for dynamic placement of applications in a cellular network mobile cloud is provided which includes the steps of: (a) obtaining: (i) a model of the cellular network, (ii) a model of user mobility patterns in the cellular network, and (iii) a model of a profile of the applications; (b) upon receipt of requests from users for the applications, obtaining runtime states at edge servers in the mobile cloud; and (c) upon obtaining the runtime states at the edge servers, placing the requests among the edge servers and a core server in the mobile cloud based on the models obtained in step (a) and the runtime states obtained in step (b).