Using Spanning-Trees for Balancing Dynamic Load on Multiprocessors

Abstract

We consider the problem of load balancing to minimize the cost of dynamic computations, including the cost of migrations. We analyze the costs associated with diffusion based algorithms for several common architectures. We introduce the Ripple load balancing paradigm, which has several advantages over diffusion methods, including flexibility and faster convergence.