A printing system comprising: a memory configured to store print performance prediction logic, including: a prediction model; a training module configured to train the prediction model; logic configured to receive print job metadata; and a parameter acquisition module configured to receive configuration criteria of a printer; and one or more processors configured to execute the training module to train the prediction model, the logic to receive the print job metadata, the parameter acquisition module to receive configuration criteria of a printing system and the prediction model to predict first processing performance measurements of the printer to simulate the printer based on the print job metadata and the configuration criteria; wherein the memory is further configured to store a content acquisition module and metadata extraction logic, wherein the one or more processors are configured to execute the content acquisition module to receive print job data, and execute the metadata extraction logic to extract the print job metadata from the received print job data; wherein the parameter acquisition module is configured to receive one or more printing performance requirements for the printer and the prediction model is configured to determine whether the first processing performance measurements satisfy the printing performance requirements; characterized in that: the prediction model is further configured to select a best fit configuration for the printer; wherein the best fit configuration satisfies the printing performance requirements and the selection is based on the first processing performance measurements using a weighting algorithm for performance requirements. a prediction model; a training module configured to train the prediction model; logic configured to receive print job metadata; and a parameter acquisition module configured to receive configuration criteria of a printer; and one or more processors configured to execute the training module to train the prediction model, the logic to receive the print job metadata, the parameter acquisition module to receive configuration criteria of a printing system and the prediction model to predict first processing performance measurements of the printer to simulate the printer based on the print job metadata and the configuration criteria; wherein the memory is further configured to store a content acquisition module and metadata extraction logic, wherein the one or more processors are configured to execute the content acquisition module to receive print job data, and execute the metadata extraction logic to extract the print job metadata from the received print job data; wherein the parameter acquisition module is configured to receive one or more printing performance requirements for the printer and the prediction model is configured to determine whether the first processing performance measurements satisfy the printing performance requirements; characterized in that: the prediction model is further configured to select a best fit configuration for the printer; wherein the best fit configuration satisfies the printing performance requirements and the selection is based on the first processing performance measurements using a weighting algorithm for performance requirements. one or more processors configured to execute the training module to train the prediction model, the logic to receive the print job metadata, the parameter acquisition module to receive configuration criteria of a printing system and the prediction model to predict first processing performance measurements of the printer to simulate the printer based on the print job metadata and the configuration criteria; wherein the memory is further configured to store a content acquisition module and metadata extraction logic, wherein the one or more processors are configured to execute the content acquisition module to receive print job data, and execute the metadata extraction logic to extract the print job metadata from the received print job data; wherein the parameter acquisition module is configured to receive one or more printing performance requirements for the printer and the prediction model is configured to determine whether the first processing performance measurements satisfy the printing performance requirements; characterized in that: the prediction model is further configured to select a best fit configuration for the printer; wherein the best fit configuration satisfies the printing performance requirements and the selection is based on the first processing performance measurements using a weighting algorithm for performance requirements. the prediction model is further configured to select a best fit configuration for the printer; wherein the best fit configuration satisfies the printing performance requirements and the selection is based on the first processing performance measurements using a weighting algorithm for performance requirements.