Abstract :
The trend in datacenter computing is toward large, shared hardware platforms, which poses two challenges to architects: sharing fairly and sharing multiple resources. Drawing on economic game theory, the authors rethink fairness in computer architecture and propose Resource Elasticity Fairness to find fair allocations that ensure sharing incentives, envy-freeness, Pareto efficiency, and strategy proofness in large systems.
Keywords :
Pareto optimisation; computer centres; game theory; incentive schemes; multiprocessing systems; parallel architectures; resource allocation; Pareto efficiency; computer architecture; datacenter computing; economic game theory; envy-freeness; fair allocations; fair division; incentives sharing; multiprocessors; resource elasticity fairness; shared hardware platforms; strategy proofness; Computer architecture; Data centers; Design methodology; Economics; Hardware platforms; Resource management; Silicon; economic mechanisms; fair sharing; game theory; multiprocessor architectures;
