Abstract:
The present disclosure involves systems, software, and computer implemented methods for resource allocation and management. One example method includes receiving, in a dispatching layer, a request to run a first task for a first application, the request including a first application priority. At least one second application priority of at least one currently running application is identified. A maximum number of allowable parallel tasks per application is determined. Application priority weights are assigned to each of the first application priority and the at least one second application priority. A number of parallel tasks for the first application and the at least one currently running application are determined based on the maximum number of allowable parallel tasks per application and the assigned application priority weights. A first number of parallel tasks are assigned to the first application. The first application is executed using the assigned first number of parallel tasks.
Abstract:
The present disclosure involves systems, software, and computer implemented methods for resource allocation and management. One example method includes receiving a request, including a first application priority, to run a task for an application. At least one second application priority is identified. A maximum number of parallel tasks per application priority is determined. Application priority weights are assigned to the first application priority and the second application priorities. Application priority divisors are determined, for the first application priority and the second application priorities, based on a respective application priority weight and a number of currently running applications of a respective application priority. A number of parallel tasks for the first application and other applications are determined based on the maximum number of allowable parallel tasks per application, an overall divisor, and a respective application priority weight. A number of parallel tasks are assigned to the first application.
Abstract:
Methods and systems of the present disclosure provide techniques for selecting displayed data in a Customer Journey diagram as eligible for one of presentation of contextual data and analysis. The methods may further include analysis or presentation of the selected displayed data in a manner that maximizes the comprehensibility of the data. The techniques for selecting displayed data as eligible for presentation or analysis include at least one of: increasing the visibility of a selected path; selecting, or multi-selecting, paths and/or Nodes for analysis; rendering contextual data from a Customer Journey diagram according to a point of click; providing additional methods for presentation of contextual data or action options; providing granular drilling information regarding a Customer Journey on demand; and dynamically adjusting a point of focus according to a diagram selection.
Abstract:
A computer implemented method may include requesting details of an object and attachments associated with the object. The attachment details for each attachment may include an attachment name and an attachment ID. In response to a selection of an attachment associated with the object, a determination may be made as to whether a cache already includes the selected attachment. If the cache includes the selected attachment, the selected attachment may be retrieved from the attachment cache. If the cache does not include the selected attachment, the attachment may be downloaded using an attachment URL. The attachment URL may be requested and generated based on the attachment ID. The downloaded attachment may also be stored in the attachment cache.
Abstract:
The present disclosure involves systems, software, and computer implemented methods for resource allocation and management. One example method includes receiving a request, including a first application priority, to run a task for an application. At least one second application priority is identified. A maximum number of parallel tasks per application priority is determined. Application priority weights are assigned to the first application priority and the second application priorities. Application priority divisors are determined, for the first application priority and the second application priorities, based on a respective application priority weight and a number of currently running applications of a respective application priority. A number of parallel tasks for the first application and other applications are determined based on the maximum number of allowable parallel tasks per application, an overall divisor, and a respective application priority weight. A number of parallel tasks are assigned to the first application.
Abstract:
Systems, methods, and computer program products are described herein for proactively allocating resources of a computing infrastructure having a plurality of namespaces. Data having process information for executing an application task on a namespace of the computing infrastructure is received. The process information defines process loads associated with the application task. A number of application servers for executing the application task are determined based on the process loads. Application servers are allocated to the namespace based on the determined number of application servers for execution of the application task. The receiving, the determining, and the allocating occur prior to execution of the application task.
Abstract:
The present disclosure involves systems, software, and computer implemented methods for resource allocation and management. One example method includes receiving a request to run a first task for a first application, the request including a first application priority. At least one second application priority of at least one currently running application is identified. A dispatching algorithm is executed, to dispatch the first task to a first application server based on the first application priority and the at least one second application priority. Destination information is returned, in response to the request, for the first application server, for execution of the first task for the first application, at the first application server, using the first resources.
Abstract:
Methods and systems of the present disclosure provide techniques for analyzing behavior of and triggering action for a definable group. In an embodiment, a method may identify a group based on a Sankey diagram. For example, a group may include those users belonging to a journey or path of the Sankey diagram. The method may analyze behavior of the group, e.g., whether a group characteristic meets a pre-definable condition. The method may perform an action for the group. In an embodiment, the method may automatically identify group members and/or automatically perform at least one action for the group members based on satisfaction of the pre-definable condition.
Abstract:
Methods and systems of the present disclosure provide techniques for selectively providing mined customer data habits as source data to populate a Customer Journey as part of a Sankey diagram displayed on a User Interface. The mined customer data habits are selected for inclusion in the Customer Journey diagram according to at least one of: a user selection according to a mini-map; a modification based on metadata from a user selection; a modification of the available User Interface size according to a screen size; a recognition of content repetition in the Customer Journey; and an identification of sequential patterns as focus points in the Customer Journey diagram. In an embodiment, the method may automatically provide mined customer data habits to a predefined extent. The method may adapt a currently supplied miner customer data habit based on a user selection.
Abstract:
Methods and systems of the present disclosure provide techniques for selecting displayed data in a Customer Journey diagram as eligible for one of presentation of contextual data and analysis. The methods may further include analysis or presentation of the selected displayed data in a manner that maximizes the comprehensibility of the data. The techniques for selecting displayed data as eligible for presentation or analysis include at least one of: increasing the visibility of a selected path; selecting, or multi-selecting, paths and/or Nodes for analysis; rendering contextual data from a Customer Journey diagram according to a point of click; providing additional methods for presentation of contextual data or action options; providing granular drilling information regarding a Customer Journey on demand; and dynamically adjusting a point of focus according to a diagram selection.