It is often beneficial for agents to pool their resources in order to better accommodate fluctuations in individual demand. Many multi-round resource allocation mechanisms operate in an online manner: in each round, the agents specify their demands for that round, and the mechanism determines a corresponding allocation. In this paper, we focus instead on the offline setting in which the agents specify their demand for each round at the outset. We formulate a specific resource allocation problem in this setting, and design and analyze an associated mechanism based on the solution concept of lexicographic maximin fairness. We present an efficient implementation of our mechanism, and prove that it is Pareto-efficient, envy-free, non-wasteful, resource monotonic, population monotonic, and group strategyproof. We also prove that our mechanism guarantees each agent at least half of the utility that they can obtain by not sharing their resources. We complement these positive results by proving that no maximin fair mechanism can improve on the aforementioned factor of one-half.
翻译:许多多轮资源分配机制以在线方式运作:在每一回合中,代理商具体提出他们对该回合的需求,机制决定相应的分配。在本文件中,我们注重的是代理商一开始就具体提出对每一回合需求的离线设置;我们在这一背景下提出具体的资源分配问题,并设计和分析一个基于法律法最大化解决方案概念的相关机制。我们介绍了我们机制的有效实施情况,并证明该机制是Pareto效率高、无嫉妒、无浪费、资源单调、人口单调和集体战略的。我们还证明,我们的机制保证了每个代理商至少一半的效用,他们可以通过不分享资源获得这些效用。我们通过证明上述二分之一因素无法改善公平机制,来补充这些积极成果。