Ye, Bin, authorJayaseelan, Arun, authorMaciejewski, Anthony A., authorSiegel, Howard Jay, authorSmith, Jay, authorMehta, Ashish M., authorSpringer, publisher2007-01-032007-01-032007Mehta, Ashish M., et al., Dynamic Resource Allocation Heuristics that Manage Tradeoff between Makespan and Robustness, Journal of Supercomputing 42, no. 1 (October 2007): 33-58.http://hdl.handle.net/10217/604Final draft post refereeing.Heterogeneous parallel and distributed computing systems may operate in an environment where certain system performance features degrade due to unpredictable circumstances. Robustness can be defined as the degree to which a system can function correctly in the presence of parameter values different from those assumed. This work develops a model for quantifying robustness in a dynamic heterogeneous computing environment where task execution time estimates are known to contain errors. This mathematical expression of robustness is then applied to two different problem environments. Several heuristic solutions to both problem variations are presented that utilize this expression of robustness to influence mapping decisions.born digitalarticleseng©2007 Springer.Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.dynamic mappingresource allocationresource managementrobustnessmakespanText