Abstract: A method of pipelining re-shuffled data of a distributed column oriented relational database management system (RDBMS). A request is received from a consumer process that requires RDBMS column data to be shuffled in a specific order according to an order that each of a plurality of columns will be used by the consumer process. For each of the plurality of columns, the method re-shuffles the RDBMS column data according to the specific order to form re-shuffled RDBMS column data, and sends the re-shuffled RDBMS column data to the consumer process.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.