Abstract: An actuator to execute on a server may be automatically selected based on risk of failure and damage to the server. Requirement specification and environment parameters may be received. A subset of actuators may be selected based on a risk threshold from an actuator catalog database storing actuator information and actuator risk metadata associated with a plurality of actuators. The actuator risk metadata may be augmented with risk information. A ranked list of the subset of actuators may be generated based on the actuator risk metadata associated with each actuator in the subset. An actuator in the ranked list may be executed on the server.

Abstract: An actuator to execute on a server may be automatically selected based on risk of failure and damage to the server. Requirement specification and environment parameters may be received. A subset of actuators may be selected based on a risk threshold from an actuator catalog database storing actuator information and actuator risk metadata associated with a plurality of actuators. The actuator risk metadata may be augmented with risk information. A ranked list of the subset of actuators may be generated based on the actuator risk metadata associated with each actuator in the subset. An actuator in the ranked list may be executed on the server.

Abstract: An actuator to execute on a server may be automatically selected based on risk of failure and damage to the server. Requirement specification and environment parameters may be received. A subset of actuators may be selected based on a risk threshold from an actuator catalog database storing actuator information and actuator risk metadata associated with a plurality of actuators. The actuator risk metadata may be augmented with risk information. A ranked list of the subset of actuators may be generated based on the actuator risk metadata associated with each actuator in the subset. An actuator in the ranked list may be executed on the server.

Abstract: An actuator to execute on a server may be automatically selected based on risk of failure and damage to the server. Requirement specification and environment parameters may be received. A subset of actuators may be selected based on a risk threshold from an actuator catalog database storing actuator information and actuator risk metadata associated with a plurality of actuators. The actuator risk metadata may be augmented with risk information. A ranked list of the subset of actuators may be generated based on the actuator risk metadata associated with each actuator in the subset. An actuator in the ranked list may be executed on the server.

Abstract: Methods and systems for creating an action plan for a service delivery system comprising a plurality of operational key performance indicators (KPIs). The system receives predetermined information about at least one relationship between two or more of the KPIs, and weights that information based on its source. The system also receives information about operational constraints and desired outcomes. A KPI relationship map is created using both the weighted information and information about KPI relationships within the service delivery system. Future predictions are made based on the KPI relationship map, and the predictions and map are utilized to create an action plan to achieve the desired outcomes in light of the operational constraints.

Abstract: A system and method of determining operational quality aware staffing requirements in service delivery systems. Optimum staffing requirements are determined by workload based simulation and optimization. Operational quality metrics are periodically measured against benchmarks to determine quality scores based upon the level of performance. The staffing requirements and quality scores are used to perform a population distribution and correlation analysis to devise an operational quality to staffing relationship.

Abstract: A method and system for performance management is provided. The method includes receiving a list comprising performance and compliance metrics and associated importance ratings for a service. Optimally balanced states and worst states for each metric are determined and related Service Delivery Quotient (SDQ) values are calculated. Normalized SDQ values are generated and data indicating a circle comprising a radius R is received. A virtual circle comprising the radius R is generated from the data. The virtual circle is divided into sectors such that each metric comprises a sector angle value that is proportional to an associated importance rating. Bisectors and a star plot graph comprising the bisectors are generated.