In one embodiment, the storlet scheduler 610 may also support a manual determination of a license type required for the computation algorithm (e.g., utilizing an auto learning platform, etc.). In another embodiment, the storlet scheduler 610 may keep track of the license model for each application bundled in each virtualization unit 608A-N, as well as the location of each object storage node 602A-N. The storlet scheduler 610 may also keep track of the complexity of the computation algorithm. Based on these two parameters, the storlet scheduler 610 may help the storlet engine 714 to determine the appropriate virtualization unit 608A-N and object storage node 602A-N to be selected for processing the deployed computation algorithm in order to minimize available resource utilization, minimize CAPEX or OPEX costs, etc.

Now referring to FIG. 8, a flowchart of a method 800 for determining a virtualization unit to implement a deployed computation algorithm is shown according to one embodiment. The method 800 may be performed in accordance with the present invention in any of the environments depicted in FIGS. 1-3, 6, and 7, among others, in various embodiments. Of course, more or less operations than those specifically described in FIG. 8 may be included in method 800, as would be understood by one of skill in the art upon reading the present descriptions.