Abstract: Systems and methods for optimizing allocation of configuration elements in a service engagement. A plurality of Service Level Agreements (SLAs) corresponding to a service engagement is received. A Service Level Agreement (SLA) of the plurality of Service Level Agreements (SLAs) includes a plurality of configuration elements and a plurality of SLA compliances. A model is created by allocating a subset of the plurality of configuration elements to meet the SLA. The model is simulated to verify the plurality of SLA compliances being met by the subset allotted. Based on the simulation, a time series data indicating behavior of the model is obtained. The model is optimized to obtain an optimal allocation of the plurality of configuration elements. The model is optimized by allocating another subset of the plurality of configuration elements to meet the SLA.

Abstract: A system and method for selecting an optimal policy to be implemented in production support engagement. The system configures a knowledge base including plurality of policies, reference events, and reference scenarios. The plurality of policies is mapped with the plurality of reference scenarios and the plurality of reference events. The plurality of policies is defined in a plurality of layers in a manner that each policy corresponds to a particular layer of the plurality of layers. Relevant policies, out of the plurality of policies, may be selected based on an event received. Simulation may be performed on the relevant policies for identifying first candidate policy. The optimization may be performed on the relevant policies for identifying second candidate policy. The first and second candidate policy indicate the optimal policy to be implemented in the production support engagement.

Abstract: A system and method for selecting an optimal policy to be implemented in production support engagement. The system configures a knowledge base including plurality of policies, reference events, and reference scenarios. The plurality of policies is mapped with the plurality of reference scenarios and the plurality of reference events. The plurality of policies is defined in a plurality of layers in a manner that each policy corresponds to a particular layer of the plurality of layers. Relevant policies, out of the plurality of policies, may be selected based on an event received. Simulation may be performed on the relevant policies for identifying first candidate policy. The optimization may be performed on the relevant policies for identifying second candidate policy. The first and second candidate policy indicate the optimal policy to be implemented in the production support engagement.

Abstract: Systems and methods for optimizing allocation of configuration elements in a service engagement. A plurality of Service Level Agreements (SLAs) corresponding to a service engagement is received. A Service Level Agreement (SLA) of the plurality of Service Level Agreements (SLAs) includes a plurality of configuration elements and a plurality of SLA compliances. A model is created by allocating a subset of the plurality of configuration elements to meet the SLA. The model is simulated to verify the plurality of SLA compliances being met by the subset allotted. Based on the simulation, a time series data indicating behavior of the model is obtained. The model is optimized to obtain an optimal allocation of the plurality of configuration elements. The model is optimized by allocating another subset of the plurality of configuration elements to meet the SLA.

Abstract: Systems and methods for obtaining an optimal pricing strategy in a service engagement are disclosed. A model is created for the service engagement between a client and vendor. For the service engagement, a pricing strategy is selected. The pricing strategy is selected from one of a fixed strategy, a variable strategy and a combination thereof. Subsequent to selecting the pricing strategy, a client payoff associated with the client and a vendor payoff associated with the vendor are computed. The model is simulated to obtain a time series data. Based on the simulation, an optimal pricing strategy is obtained by calculating an optimizer payoff function. The optimizer payoff function is calculated by assigning relative weights to the client payoff and the vendor payoff. The optimal pricing strategy is obtained by altering the pricing strategy to maximize the optimizer payoff function.