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Dynamic Proportional Sharing: A Game-Theoretic Approach

机译:动态比例共享:一种博弈论方法

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摘要

Sharing computational resources amortizes cost and improves utilization and efficiency. When agents pool their resources, each becomes entitled to a portion of the shared pool. Static allocations in each round can guarantee entitlements and are strategy-proof, but efficiency suffers because allocations do not reflect variations in agents' demands for resources across rounds. Dynamic allocation mechanisms assign resources to agents across multiple rounds while guaranteeing agents their entitlements. Designing dynamic mechanisms is challenging, however, when agents are strategic and can benefit by misreporting their demands for resources. In this paper, we show that dynamic allocation mechanisms based on max-min fail to guarantee entitlements, strategy-proofness or both. We propose the flexible lending (FL) mechanism and show that it satisfies strategy-proofness and guarantees at least half of the utility from static allocations while providing an asymptotic efficiency guarantee. Our simulations with real and synthetic data show that the performance of the flexible lending mechanism is comparable to that of state-of-the-art mechanisms, providing agents with at least 0.98x, and on average 15x, of their utility from static allocations. Finally, we propose the T-period mechanism and prove that it satisfies strategy-proofness and guarantees entitlements for T ≤ 2.
机译:共享计算资源可摊销成本,并提高利用率和效率。当代理池化其资源时,每个代理都有权使用共享池的一部分。每一轮中的静态分配可以保证权利,并且可以防策略,但是效率会受到影响,因为分配没有反映代理在各轮中对资源的需求的变化。动态分配机制跨多个回合将资源分配给座席,同时保证座席的权利。但是,当代理具有战略意义并且可以通过错误地报告其对资源的需求而受益时,设计动态机制将具有挑战性。在本文中,我们显示了基于最大-最小的动态分配机制无法保证权利,策略安全性或两者兼而有之。我们提出了灵活借贷(FL)机制,并表明它满足策略要求,并在提供渐近效率保证的同时,保证至少一半的效用来自静态分配。我们使用真实和合成数据进行的模拟显示,灵活借贷机制的性能可与最新机制相媲美,从静态分配中为代理商提供的效用至少为0.98倍,平均为15倍。最后,我们提出了T周期机制,并证明它满足策略证明性并保证了T≤2的权利。

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