Cloud MapReduce for Monte Carlo bootstrap applied to Metabolic Flux Analysis

► Scientific workflows are an attractive option in Metabolic Flux Analysis. ► A service-oriented approach for on-demand Cloud computing with Amazon is presented. ► Compute-intensive, parallel Monte Carlo simulations can be realized using MapReduce. ► A speedup of factor 48 is achieved on 64 cores compared to a single core computation. ► A large-scale simulation is performed on 152 cores in 24 h and $384 total costs.