1. A computer-implemented method for rotating real time execution of data models using an application instance, the method comprising: receiving input data for real time execution of a plurality of data models; assigning an application instance for executing the plurality of data models simultaneously; automatically distributing resources of the application instance based on a set of rotation factors; executing the plurality of data models simultaneously using one or more data processors; and outputting execution results for one or more of the plurality of data models; wherein automatically distributing resources of the application instance based on a set of rotation factors comprises: determining whether a rotation factor is time-dependent; responsive to determining that the rotation factor is time-dependent, calculating an aggregate of one or more rotation attributes of the rotation factor; normalizing rotation data associated with the rotation factor across the plurality of data models; applying a weight of the rotation factor to the normalized rotation data of each of the plurality of data models; aggregating the weighted rotation data of the plurality of data models; and normalizing the aggregated weighted rotation data.