An analytical model and an optimal scheduling heuristic for collective resource management

We study the problem of collective resource management. We first introduce the problem through real-world examples. Then we generalize the problem and build an analytical model using queuing theory. Based on this model, we evaluate the expected average waiting time of tasks. We present data from simulations, and compare the expected average waiting time from theoretical calculations to that from our experiments. We propose an optimal task scheduling heuristic. We conclude with a brief discussion of our future research plans