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Adaptive policing for token-exchange based management of shared computing resources

机译：基于令牌交换管理的自适应警务管理的共享计算资源管理

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摘要

Resource contention on shared resources occurs when workload demands exceed the aggregate capacity of shared resources in the community. The token-exchange incentive scheme is traditionally employed to motivate organizations to contribute sufficiently to the community, as a means to minimize free riding. The same incentive scheme can concurrently be used to serve as a mechanism for performing admission control on jobs submitted by users. However, due to the likelihood of fluctuations in demand for computing resources, the initial assignment of tokens on the basis of each organization's resource contribution may have a significant impact on the performance trade-off between fairness and the system admission ratio. To address this problem, we extend the token-exchange scheme by designing trading policies that are responsive to the instantaneous degree of contention, so that, the trade-off between fairness and the admission ratio is less sensitive to the actual quantity of tokens assigned to each organization.
机译：当工作负载需求超过社区共享资源的总容量时，会发生对共享资源的资源争用。传统上令牌交换激励计划激励组织为社区充分贡献，作为最大限度地减少骑行的手段。相同的激励计划可以同时用于作为对用户提交的就业机构进行录取控制的机制。但是，由于计算资源需求波动的可能性，基于每个组织资源贡献的令牌的初始分配可能对公平性和系统入学比率之间的性能权衡产生重大影响。为了解决这个问题，我们通过设计响应争用程度的交易政策来扩展令牌交换方案，因此，公平性和入学比率之间的权衡对分配给的令牌的实际数量不太敏感每个组织。

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