Abstract: Systems and methods for managing configuration changes to a network are provided. In examples, the configuration rules are received and stored in a staging directory. If the configuration rules are validated, the rules are moved to a running directory. Thereafter a request to make a change to a configuration parameter is received. The request may comprise a configuration change object, and the configuration change object may be stored in the staging directory. The configuration change object may be evaluated against the rule (and other rules of the network), and it may be moved to the running directory only after satisfying all applicable rules. In some examples, applying the rule(s) may include determining whether the configuration change exceeds a network limit on changes of a particular type with a preset time period.

Abstract: A computer program product for testing a server code in a server concurrently handling multiple client requests includes creating a job-specific breakpoint in the server code using a library application programming interface, the job-specific breakpoint in the server code is enabled or disabled based on a job identifier, the library application programming interface controls the job-specific breakpoint in the server code and includes an application programming interface for establishing a new server connection with the server and retrieving the job identifier from the server associated with the established new server connection, pausing execution of a client job based on enabling the job-specific breakpoint in the server code using the library application programming interface, and resuming execution of the client job based on disabling the job-specific breakpoint in the server code using the library application programming interface.

Abstract: A computer program product for testing a server code in a server concurrently handling multiple client requests includes creating a job-specific breakpoint in the server code using a library application programming interface, the job-specific breakpoint in the server code is enabled or disabled based on a job identifier, the library application programming interface controls the job-specific breakpoint in the server code and includes an application programming interface for establishing a new server connection with the server and retrieving the job identifier from the server associated with the established new server connection, pausing execution of a client job based on enabling the job-specific breakpoint in the server code using the library application programming interface, and resuming execution of the client job based on disabling the job-specific breakpoint in the server code using the library application programming interface.

Abstract: A method and system for testing a server code in a server concurrently handling multiple client requests create a job-specific breakpoint in the server code using a library application programming interface (API) that allows the job-specific breakpoint in the server code being enabled or disabled based on a job identifier. The library API controls the job-specific breakpoint in the server code via a plurality of readymade functions that execute, in a desired sequence, various synchronous and asynchronous program paths associated with the multiple client requests. By using the library API, the method and system are capable of establishing a new server connection with the server and retrieving the job identifier from the server associated with the established new server connection, pausing execution of a client job based on enabling the job-specific breakpoint, and resuming execution of the client job based on disabling the job-specific breakpoint.

Abstract: A method, a processing device, and a computer program product are provided. A truncate table command for truncating all or a subset of one or more rows of a database table is received from a first transaction executing on a processing device. At least one read operation on the truncated database table is performed for at least one transaction concurrent with the first transaction, wherein the truncated rows are visible to the at least one concurrent transaction and invisible to subsequent transactions. Storage units that store the truncated rows are reclaimed in response to completion of the at least one concurrent transaction.

Abstract: A method and system for testing a server code in a server concurrently handling multiple client requests create a job-specific breakpoint in the server code using a library application programming interface (API) that allows the job-specific breakpoint in the server code being enabled or disabled based on a job identifier. The library API controls the job-specific breakpoint in the server code via a plurality of readymade functions that execute, in a desired sequence, various synchronous and asynchronous program paths associated with the multiple client requests. By using the library API, the method and system are capable of establishing a new server connection with the server and retrieving the job identifier from the server associated with the established new server connection, pausing execution of a client job based on enabling the job-specific breakpoint, and resuming execution of the client job based on disabling the job-specific breakpoint.

Abstract: A method, a processing device, and a computer program product are provided. A truncate table command for truncating all or a subset of one or more rows of a database table is received from a first transaction executing on a processing device. At least one read operation on the truncated database table is performed for at least one transaction concurrent with the first transaction, wherein the truncated rows are visible to the at least one concurrent transaction and invisible to subsequent transactions. Storage units that store the truncated rows are reclaimed in response to completion of the at least one concurrent transaction.

Abstract: A method, a processing device, and a computer program product are provided. A truncate table command for truncating all or a subset of one or more rows of a database table is received from a first transaction executing on a processing device. At least one read operation on the truncated database table is performed for at least one transaction concurrent with the first transaction, wherein the truncated rows are visible to the at least one concurrent transaction and invisible to subsequent transactions. Storage units that store the truncated rows are reclaimed in response to completion of the at least one concurrent transaction.

Abstract: A method, a processing device, and a computer program product are provided. A truncate table command for truncating all or a subset of one or more rows of a database table is received from a first transaction executing on a processing device. At least one read operation on the truncated database table is performed for at least one transaction concurrent with the first transaction, wherein the truncated rows are visible to the at least one concurrent transaction and invisible to subsequent transactions. Storage units that store the truncated rows are reclaimed in response to completion of the at least one concurrent transaction.

Abstract: Estimating and determining causes of video artifacts and video source delivery issues is conducted by a hybrid approach utilizing both video coding layer with DCT information as well as pixel domain information. Coded syntax elements and data as well as sample information in the compressed frequency domain of the video coding layer is analyzed in real time and parallel image analysis algorithms are performed on pixel samples on the GPU core. Computed values from the video coding layer and the image layer are combined to deduce cause of the video artifact and video source delivery issues.

Abstract: A method to determine real time image complexity in video streaming, IPTV and broadcast applications using a statistical model representing channel bandwidth variation and image complexity that considers scene content changes. Available channel bandwidth is distributed unevenly among multiple video streams in proportion to bandwidth variation and image complexity of the broadcast video stream. The distribution of available channel bandwidth is determined based upon an image complexity factor of each video stream as determined from probability matrices considering bandwidth variations and image complexity.

Abstract: A method for determining spatial and temporal loss in a packet based video broadcast system in an encrypted environment involves measuring video coding layer information at an unencrypted head end of a video stream and network layer information at an encrypted downstream end of the same video stream. Video coding layer information is correlated with network layer information having a corresponding time stamp to compute the spatial and temporal loss. The video coding layer and network layer information is taken from discrete segments of the video stream including access units, slices or macroblocks. Impairments in the video stream are determined using the computed spatial and temporal loss.

Abstract: The quality of video that is broadcast as a packet-based video stream is measured using decoded pictures in combination with information extracted from the transport stream and elementary stream layers of the packet-based video stream. The decoded pictures include selected frames and/or slices decoded from the packet-based video stream and are used to generate video content metrics. A composite score for the video quality can be generated from the video content metrics in combination with quality metrics of the transport stream and/or the elementary stream. If the composite score falls below a minimum score, a snapshot of the video is captured for later analysis.

Abstract: A method to determine real time image complexity in video streaming, IPTV and broadcast applications using a statistical model representing channel bandwidth variation and image complexity that considers scene content changes. Available channel bandwidth is distributed unevenly among multiple video streams in proportion to bandwidth variation and image complexity of the broadcast video stream. The distribution of available channel bandwidth is determined based upon an image complexity factor of each video stream as determined from probability matrices considering bandwidth variations and image complexity.

Abstract: A method to determine real time image complexity in video streaming, IPTV and broadcast applications using a statistical model representing channel bandwidth variation and image complexity that considers scene content changes. Available channel bandwidth is distributed unevenly among multiple video streams in proportion to bandwidth variation and image complexity of the broadcast video stream. The distribution of available channel bandwidth is determined based upon an image complexity factor of each video stream as determined from probability matrices considering bandwidth variations and image complexity.

Abstract: A method for determining spatial and temporal loss in a packet based video broadcast system in an encrypted environment involves measuring video coding layer information at an unencrypted head end of a video stream and network layer information at an encrypted downstream end of the same video stream. Video coding layer information is correlated with network layer information having a corresponding time stamp to compute the spatial and temporal loss. The video coding layer and network layer information is taken from discrete segments of the video stream including access units, slices or macroblocks. Impairments in the video stream are determined using the computed spatial and temporal loss.

Abstract: A method to determine real time image complexity in video streaming, IPTV and broadcast applications using a statistical model representing channel bandwidth variation and image complexity that considers scene content changes. Available channel bandwidth is distributed unevenly among multiple video streams in proportion to bandwidth variation and image complexity of the broadcast video stream. The distribution of available channel bandwidth is determined based upon an image complexity factor of each video stream as determined from probability matrices considering bandwidth variations and image complexity.