1. A computer-implemented method comprising: dynamically grouping and un-grouping, by a computing device, processing operators and processing elements used by a streaming application; monitoring distributed processing elements utilization of resources to identify candidate operators and candidate processing elements for at least one of parallelization and fusion; and dynamically adjusting, at runtime, via at least one of parallelization and fusion, the grouping and un-grouping of the identified candidate operators and candidate processing elements, wherein dynamically adjusting, at runtime, the grouping and un-grouping of the identified candidate operators and candidate processing elements includes compiling the identified candidate operator to a library and implementing a loading mechanism to move the identified candidate operator, and wherein the grouping and un-grouping of the identified candidate operators and candidate processing elements is dynamically adjusted, at runtime, via at least one of parallelization and fusion, based upon, at least in part, a tuple flow rate of the operators.