In the dynamic heterogeneous environment, however, the relative performance among players could change during this second phase of the game. Thus, the dealer gives each remaining player a card, and keeps dealing them out as requested by players until they are gone. A modified strategy would be to abandon entirely the Marginal Performance Rule, and rely on the card distribution technique, repeating that analysis after each card, or after, say, every five cards are dealt. It may be necessary to recalculate and drop players with increasing frequency as the game progresses toward the end. In our full paper, we will analyze several combinations of these adaptive load-balancing strategies for relative performance in heterogeneous environments.
Rescission adds both performance optimization and fault tolerance to the game.
Such adaptive codes help to ensure that multiple users in a heterogeneous system will maximize the efficient use of the fixed computational resource, regardless of the behavior of the other users' code. Accordingly, the U.S. Government retains a nonexclusive, royalty-free license to publish or reproduce the published form of this contribution, or allow others to do so, for U.S. Government purposes.