Ron-Chung Hu

7917759, Mar 29, 2011

Mar 30, 2007

11/731071

Amrish K. Lal - Sunnyvale CA, US
Vivek M. Chandran - Redwood City CA, US
Ravil A. Desai - Danville CA, US
Ron-Chung Hu - Palo Alto CA, US

Symantec Corporation - Mountain View CA

H04L 9/32
H04L 29/06
G06F 17/30

713172, 713150, 707783

Determining an application user as a source of database activity is disclosed. A communication is received. A thread that is configured to handle the communication is associated with an application user with which the communication is associated. The application user is associated with a database query generated by the thread.

8290995, Oct 16, 2012

Jun 8, 2009

12/480547

Ron-Chung Hu - Palo Alto CA, US
Barry Holroyd - Mountain View CA, US

Symantec Operating Corporation - Mountain View CA

G06F 12/00
G06F 17/30

707822, 707826, 707827

A method for increasing the QoS in a data center. The method can be employed in first and second components of the data center. In one embodiment, the method includes a first component of the data center receiving first and second requests. The first component generates first and second priority values corresponding to the first and second requests, respectively. The first component processes the first and second requests to generate third and fourth requests, respectively, wherein the first request is processed before the second request if the first priority value is numerically greater than the second priority value, or the first request is processed after the second request if the first priority value is numerically less than the second priority value. A second component of the data center receives the third and fourth requests. The second component generates third and fourth priority values corresponding to the third and fourth requests, respectively.

8326990, Dec 4, 2012

Jul 15, 2005

11/182907

Qiang Li - Foster City CA, US
Ron-Chung Hu - Palo Alto CA, US
HanCheng Hsiung - Union City CA, US

Symantec Operating Corporation - Mountain View CA

G06F 15/173
G06F 15/167

709226, 709215, 709216

Procedures and systems may be used for assigning data partitions to data-processing host computers, for example, to initially assign data partitions at the outset of a large data-processing job or during failover measures taken in response to a failed host in a share-nothing database management system (SN-DBMS). In one implementation, a method of managing exclusive access to a data partition within a database system assesses a first host and a second host that have exclusive access to a first and second data partition, respectively, within a database system. The method assigns exclusive access of the data partition to one of the first and second hosts based on factors that may include the processing powers of first and second the hosts, and on processing requirements (such as data quantity and data criticalness) for data on the first and second data partitions.

20020136204, Sep 26, 2002

Feb 6, 2002

10/072564

Li-wen Chen - Cupertino CA, US
Ron-Chung Hu - Palo Alto CA, US

MetaEdge Corporation - Sunnyvale CA

H04L012/56

370/352000, 370/389000

The present invention provides techniques for routing network traffic based upon application information. Specific embodiments provide users, such as businesspersons or other professionals with the capability to understand relationships among customers or clients, for example, and to manipulate traffic in enterprise network resources based upon these relationships. Various network applications, such as HTTP, SNMP, and the like, are supported by specific embodiments. Content-based routing methods can direct network traffic based on the Uniform Resource Locator (URL), which may contain an HTTP cookie in certain embodiments. Accordingly, novel ways to define the cookie by including the application data obtained from customer data analysis can be used with specific embodiments. Multidimensional models, statistical computations, rule based systems, report generators, and the like can be used with various specific embodiments in order to enable the decision maker to understand, analyze and present relationships among various information entities.

7546308, Jun 9, 2009

Sep 17, 2004

10/944511

Ron-Chung Hu - Palo Alto CA, US
Barry Holroyd - Mountain View CA, US

Symantec Operating Corporation - Cupertino CA

G06F 7/00
G06F 17/30

707102, 707103 R

A method for increasing the QoS in a data center. The method can be employed in first and second components of the data center. In one embodiment, the method includes a first component of the data center receiving first and second requests. The first component generates first and second priority values corresponding to the first and second requests, respectively. The first component processes the first and second requests to generate third and fourth requests, respectively, wherein the first request is processed before the second request if the first priority value is numerically greater than the second priority value, or the first request is processed after the second request if the first priority value is numerically less than the second priority value. A second component of the data center receives the third and fourth requests. The second component generates third and fourth priority values corresponding to the third and fourth requests, respectively.

20180089270, Mar 29, 2018

Sep 23, 2016

15/274681

- Plano TX, US
Ron-Chung Hu - Palo Alto CA, US
Masood Mortazavi - Santa Clara CA, US

G06F 17/30

A method includes traversing a query plan tree having multiple nodes, each node representative of an operation on data that is the subject of a query, to extract multiple pipelines from the query plan tree, identify dependencies between the multiple extracted pipelines, and provide a pipeline dependent tree based on the dependencies between the multiple extracted pipelines for execution of the query by multiple processors.

20180022361, Jan 25, 2018

Jul 19, 2016

15/213532

- Plano TX, US
Jian Li - Austin TX, US
Ron-Chung Hu - Palo Alto CA, US

B60W 50/00
B60R 16/037
B60W 30/18
B60W 50/08
G05B 13/02
B60W 10/30

A system and method for performing self-learning for adaptively achieving passenger comfort enhancement in an autonomous vehicle. The system comprises a plurality of sensor inputs. Each sensor input provides data representative of voice responses and image responses from a passenger in the vehicle. A controller is coupled to the plurality of sensor inputs. The controller generates and updates a reward function that includes a plurality of driving state transitions. The reward function is updated based on destination information and the data representative of the voice and image responses. The controller further generates a goal function that determines an optimized driving state transition updates the goal function based on the updated reward function and a previous goal function. The controller also generates a vehicle speed control signal, based on the updated goal function, to control the speed of the autonomous vehicle.

20170257450, Sep 7, 2017

Mar 1, 2016

15/057665

- Plano TX, US
Jian Li - Austin TX, US
Jiafeng Zhu - Pleasanton CA, US
Ron-Chung Hu - Palo Alto CA, US

H04L 29/08
H04W 84/12

A method implemented in a network element (NE) configured to operate as an Ensemble Information Broker (EIB) within a data and energy storage internet architecture, the method comprising collecting device data, human presence data, and human activity data; determining predicted human behaviors for the user; determining a predicted energy metric for the smart system during a future time slot; calibrating weighted objective metrics of an operating status of the devices, a human comfort level, and a human productivity level according to the predicted human behaviors and user defined preference levels defined for the smart system; generating a set of control commands for the devices within the smart system by executing the dynamic human-centric Objective Function on the predicted energy metric; and transmitting, via a transmitter, the set of control commands to corresponding devices within the smart system.