Task scheduling instances for evaluating MHeedra, an Edge-Cloud task placement framework

This dataset includes the full set of instances used to evaluate our MHeedra framework. Specifically: The .dat files contain the CPLEX instance implementations used with our MILP model. The .py files contain the corresponding Python implementations, which are used by our Ant Colony Optimization (ACO) algorithm. Each instance is named according to the following convention: [task-qty][distribution]-[low%]-[medium%]-[high%] Details are available in our article entitled as follows: MHeedra: Putting Duplication-Enabled Task Scheduling Within Heterogeneous Multi-User Edge-Cloud Platforms to Work