Parallel computation is frequently modeled using a deterministic local rate of computation, latency overhead, and network bandwidth. In reality, these are spatially variable and non-deterministic. Studies such as Skinner and Kramer (2005) observe multi-modal distributions, but performance analysis seems to always use either deterministic or Gaussian distributions (not just inaccurate, it's inconsistent due to positive probability of negative latency).
Have higher-fidelity statistical models been developed? Do any account for cross-correlation in local compute/memory, latency, and bandwidth variability?