Guofei Jiang

7590513, Sep 15, 2009

Jan 30, 2006

11/275796

Guofei Jiang - Princeton NJ, US
Haifeng Chen - Piscataway NJ, US
Cristian Ungureanu - Princeton NJ, US
Kenji Yoshihira - Cranford NJ, US

NEC Laboratories America, Inc. - Princeton NJ

G06F 17/10

703 2, 714 48

A method and system that automatically derives models between monitored quantities under non-faulty conditions so that subsequent faults can be detected as deviations from the derived models. The invention identifies unusual conditions for fault detection and isolation that is absent in rule-based systems.

8019584, Sep 13, 2011

Mar 14, 2007

11/685805

Guofei Jiang - Princeton NJ, US
Haifeng Chen - Piscataway NJ, US
Kenji Yoshihira - Cranford NJ, US

NEC Laboratories America, Inc. - Princeton NJ

G06F 17/50
G06F 7/60
G06F 11/00

703 13, 703 1, 703 2, 714 51

Disclosed is a method and system for modeling invariant relationships between flow intensity measurements in a distributed system. In the method, a measurement is randomly selected from a plurality of flow intensity measurements. The method searched for relationships between the randomly selected measurement and each remaining one of the plurality of flow intensity measurements, and each of the flow intensity measurements having a relationship with the randomly selected measurement is grouped into a cluster with the randomly selected measurement. The method than determines relationships between all of the flow intensity measurements in the cluster. This method is repeated with the remaining flow intensity measurements until all of the flow intensity measurements are grouped into a cluster.

8095486, Jan 10, 2012

Mar 5, 2008

12/042728

Haifeng Chen - Old Bridge NJ, US
Guofei Jiang - Princeton NJ, US
Kenji Yoshihira - Cranford NJ, US
Hui Zhang - New Brunswick NJ, US
Xiaoqiao Meng - Plainsboro NJ, US

NEC Laboratories America, Inc. - Princeton NJ

G06E 1/00
G06E 3/00

706 19, 709226, 703 2

A system and method for optimizing system performance includes applying sampling based optimization to identify optimal configurations of a computing system by selecting a number of configuration samples and evaluating system performance based on the samples. Based on feedback of evaluated samples, a location of an optimal configuration is inferred. Additional samples are generated towards the location of the inferred optimal configuration to further optimize a system configuration.

8098585, Jan 17, 2012

Oct 28, 2008

12/259623

Guofei Jiang - Princeton NJ, US
Haifeng Chen - Old Bridge NJ, US
Kenji Yoshihira - Cranford NJ, US

NEC Laboratories America, Inc. - Princeton NJ

H04J 1/16
H04J 3/14
H04L 1/00
H04L 12/26

370241

A system and method for prioritizing alerts includes extracting invariants to determine a stable set of models for determining relationships among monitored system data. Equivalent thresholds for a plurality of rules are computed using an invariant network developed by extracting the invariants. For a given time window, a set of alerts are received from a system being monitored. A measurement value of the alerts is compared with a vector of equivalent thresholds, and the set of alerts is ranked.

8185781, May 22, 2012

Apr 5, 2010

12/754572

Haifeng Chen - Old Bridge NJ, US
Guofei Jiang - Princeton NJ, US
Kenji Yoshihira - Princeton Junction NJ, US
Akhilesh Saxena - Morristown NJ, US

NEC Laboratories America, Inc. - Princeton NJ

G06F 11/00

714 26, 714 45

A method system for diagnosing a detected failure in a computer system, compares a failure signature of the detected failure to an archived failure signature contained in a database to determine if the archived failure signature matches the failure signature of the detected failure. If the archived failure signature matches the failure signature of the detected failure, an archived solution is applied to the computer system that resolves the detected failure, the archived solution corresponding to a solution used to resolve a previously detected computer system failure corresponding to the archived failure signature in the database that matches the detected failure.

8264988, Sep 11, 2012

Jan 30, 2010

12/697237

Yueping Zhang - Carteret NJ, US
Yu Ru - Urbana IL, US
Guofei Jiang - Princeton NJ, US

NEC Laboratories America, Inc. - Princeton NJ

H04L 12/28
G06F 15/16

370256, 370408, 709252

A method for inferring end-to-end network topology and to accurately determine a layer-3 routing tree between one sender and a set of receivers in the presence of anonymous routers in a network.

8315960, Nov 20, 2012

Nov 11, 2009

12/616477

Haifeng Chen - Old Bridge NJ, US
Wenxuan Zhang - Milpitas CA, US
Guofei Jiang - Princeton NJ, US

NEC Laboratories America, Inc. - Princeton NJ

G06E 3/00
G06F 15/18

706 15, 370400, 381396

A computer implemented method employing experience transfer to improve the efficiencies of an exemplary configuration tuning in computing systems. The method employs a Bayesian network guided tuning algorithm to discover the optimal configuration setting. After the tuning has been completed, a Bayesian network is obtained that records the parameter dependencies in the original system. Such parameter dependency knowledge has been successfully embedded to accelerate the configuration searches in other systems. Experimental results have demonstrated that with the help of transferred experiences we can achieve significant time savings for the configuration tuning task.

8402140, Mar 19, 2013

Jan 11, 2011

13/004063

Hui Zhang - Princeton Junction NJ, US
Ya-Yunn Su - Taiwan, CN
Guofei Jiang - Princeton NJ, US
Kenji Yoshihira - Princeton Junction NJ, US

NEC Laboratories America, Inc. - Princeton NJ

G06F 15/173
G06F 9/46

709226, 718105

A method and system for coordinating energy management in a virtualized data center including a plurality of physical servers and a plurality of virtual machines (VMs), includes analyzing status information about the virtualized data center; determining server utilization target settings for server consolidation from the analyzed status information; and executing the server consolidation according to the determined server utilization target settings. Server consolidation can be executed by determining an effective size of each of the VMs and placing the VMs on the servers in a selective manner using an independent workload VM placement process, a correlation-aware VM placement process, or a migration-cost and correlation-aware VM placement process.