Abstract: System, method, and computer program product to process parallel computing tasks on a distributed computing system, by computing an execution plan for a parallel computing job to be executed on the distributed computing system, the distributed computing system comprising a plurality of compute nodes, generating, based on the execution plan, an ordered set of tasks, the ordered set of tasks comprising: (i) configuration tasks, and (ii) execution tasks for executing the parallel computing job on the distributed computing system, and launching a distributed computing application to assign the tasks of the ordered set of tasks to the plurality of compute nodes to execute the parallel computing job on the distributed computing system.

Abstract: Provided are a computer program product, system, and method for allocating physical nodes for processes in an execution plan. An execution plan is generated indicating a plurality of processes. A resource requirement is generated indicating requested physical nodes and an assignment of the processes to execute on the requested physical nodes. A determination is made from the resource requirement of a resource allocation of physical nodes for the requested physical nodes and the processes. The execution plan is updated to generate an updated execution plan indicating the physical nodes on which the processes will execute according to the received resource allocation.

Abstract: Provided are a computer program product, system, and method for allocating physical nodes for processes in an execution plan. An execution plan is generated indicating a plurality of processes. A resource requirement is generated indicating requested physical nodes and an assignment of the processes to execute on the requested physical nodes. A determination is made from the resource requirement of a resource allocation of physical nodes for the requested physical nodes and the processes. The execution plan is updated to generate an updated execution plan indicating the physical nodes on which the processes will execute according to the received resource allocation.

Abstract: According to one embodiment of the present invention, a system selectively compresses data fields in a parallel data flow. The system identifies within an execution plan for the parallel data flow a first instance of a data field within a stage of the parallel data flow. The system traces the identified data field through stages of the parallel data flow and determines a score value for the identified data field based on operations performed on the identified data field during traversal of the stages. The system compresses the identified data field based on the score value indicating a performance gain with respect to the compressed data field. Embodiments of the present invention further include a method and computer program product for selectively compressing data fields in a parallel data flow in substantially the same manners described above.

Abstract: A request for analysis of a data integration job is received that includes one or more features and criteria for the analysis. Each feature is extracted from a job model representing the job by invoking a corresponding analytical rule for each feature. The analytical rule includes one or more operations and invoking the analytical rule performs the operations to analyze one or more job components associated with the corresponding feature as represented in the job model and to extract information pertaining to that feature.

Abstract: A request for analysis of a data integration job is received that includes one or more features and criteria for the analysis. Each feature is extracted from a job model representing the job by invoking a corresponding analytical rule for each feature. The analytical rule includes one or more operations and invoking the analytical rule performs the operations to analyze one or more job components associated with the corresponding feature as represented in the job model and to extract information pertaining to that feature.

Abstract: Techniques are disclosed for qualified checkpointing of a data flow model having data flow operators and links connecting the data flow operators. A link of the data flow model is selected based on a set of checkpoint criteria. A checkpoint is generated for the selected link. The checkpoint is selected from different checkpoint types. The generated checkpoint is assigned to the selected link. The data flow model, having at least one link with no assigned checkpoint, is executed.

Abstract: Techniques are disclosed for qualified checkpointing of a data flow model having data flow operators and links connecting the data flow operators. A link of the data flow model is selected based on a set of checkpoint criteria. A checkpoint is generated for the selected link. The checkpoint is selected from different checkpoint types. The generated checkpoint is assigned to the selected link. The data flow model, having at least one link with no assigned checkpoint, is executed.

Abstract: According to one embodiment of the present invention, a system selectively compresses data fields in a parallel data flow. The system identifies within an execution plan for the parallel data flow a first instance of a data field within a stage of the parallel data flow. The system traces the identified data field through stages of the parallel data flow and determines a score value for the identified data field based on operations performed on the identified data field during traversal of the stages. The system compresses the identified data field based on the score value indicating a performance gain with respect to the compressed data field. Embodiments of the present invention further include a method and computer program product for selectively compressing data fields in a parallel data flow in substantially the same manners described above.

Abstract: Embodiments presented herein provide task management capabilities for designing a complex data integration workflow in an integrated design environment (IDE). A task management tool of the IDE allows a developer to tag various stages of a data integration workflow in a non-linear manner. When the task management tool receives a tag for a given stage, the task management tool identifies incomplete tasks associated with the stage and generates a task list that includes the incomplete tasks. The developer may return to completing any of the tasks in the workflow in any sequence as desired.

Abstract: Data flow disruptions over a series of data processing operators can be detected by a computer system that generates a profile for data flow at an operator. The profile can include data input, processing, and output wait times. Using the profile, the system can detect potential flow disruptions. If the potential disruption satisfies a rule, it is considered a data flow disruption and a recommendation associated with the satisfied rule is identified. The recommendation and the operator identity is displayed.

Abstract: The method of managing performance of data integration are described. A performance analyzer may receive data about a data integration job execution. The performance analyzer may determine whether there is a performance issue of the data integration job execution. The performance analyzer analyzes the data about the data integration job execution when there is a performance issue. The performance analyzer generates a job execution design recommendation based on the analysis of the data and a set of predefined recommendation rules. The performance analyzer then displays the data about the data integration job execution and when there is a generated job execution design recommendation, displaying the job execution design recommendation.

Abstract: According to one embodiment of the present invention, a system selectively compresses data fields in a parallel data flow. The system identifies within an execution plan for the parallel data flow a first instance of a data field within a stage of the parallel data flow. The system traces the identified data field through stages of the parallel data flow and determines a score value for the identified data field based on operations performed on the identified data field during traversal of the stages. The system compresses the identified data field based on the score value indicating a performance gain with respect to the compressed data field. Embodiments of the present invention further include a method and computer program product for selectively compressing data fields in a parallel data flow in substantially the same manners described above.

Abstract: Embodiments presented herein provide techniques for optimizing parallel data flows of a batch processing job using a profile of the processing job. An application retrieves a job profile for a processing job. The processing job has a plurality of processing stages specified in an execution profile. The job profile includes statistical data for at least one of the processing stages obtained during prior executions of the job. The application modifies properties of the execution profile based on the job profile to optimize the execution of the job. The application executes the processing job with the modified execution profile.

Abstract: Embodiments presented herein provide techniques for optimizing parallel data flows of a batch processing job using a profile of the processing job. An application retrieves a job profile for a processing job. The processing job has a plurality of processing stages specified in an execution profile. The job profile includes statistical data for at least one of the processing stages obtained during prior executions of the job. The application modifies properties of the execution profile based on the job profile to optimize the execution of the job. The application executes the processing job with the modified execution profile.

Abstract: The present disclosure provides vaccine compositions comprising at least one adjuvant and at least one antigen, wherein the adjuvant is a cationic lipid. The disclosure also provides methods of treating a disease in a mammal, methods of preventing a disease in a mammal, and methods of effecting antigen cross presentation to induce a humoral immune response and a cellular immune response in a mammal utilizing the vaccine compositions. Cross presentation of various antigens can be achieved by formulating the specific antigens with cationic lipids possessing adjuvant properties.

Abstract: Methods, program products, and systems implementing browser-based database manipulation are described. A browser on a client device can receive a form definition that is generated based on a schema of a relational database and a layout. The schema in the form definition can specify properties of data fields. The browser can display the data fields and other components of the layout in a list. The browser can receive a drag-and-drop input, the drag-and-drop input selecting a data field or a layout component from the list and dropping the selected data field or layout component in a drop zone in a form area in the browser. The browser can determine the drop location, and use the drop location as a parameter to modify the form definition. The layout and the schema can be modified based on the modified form definition.

Abstract: The present disclosure provides vaccine compositions comprising at least one adjuvant and at least one therapeutic factor. The disclosure also provides methods of reducing an immune suppressor cell population in a mammal, methods of augmenting an immune response in a mammal, and methods of treating a disease in a mammal utilizing the vaccine compositions.

Abstract: The present disclosure provides vaccine formulations comprising at least one peptide antigen assembly and at least one adjuvant. The disclosure also provides methods of inducing an immune response in a mammal and methods of treating a disease in a mammal utilizing the vaccine formulations.

Abstract: Methods, program products, and systems implementing integrated repository of structured and unstructured data are disclosed. An integrated environment is provided for accessing structured data (e.g., data of a relational database) and unstructured data (e.g., data stored in a text or binary file), including creating, managing, modifying, and searching the structured data and unstructured data. The integrated environment can include an integrated user interface, a set of commands and application programming interface (API), and storage for a relational database and a document repository. The integrated environment can include a database abstraction layer that allows database operations on both the structured data and the unstructured data.