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Two-part job scheduling with capacity constraints and preferences

机译:具有容量限制和偏好的两部分作业计划

摘要

Exemplary embodiments relate to the problem of allocating a finite number of units of a resource among requestors willing to offer different amounts of value for the resource. When different classes of requestors are permitted to cancel the request or fail to show up to collect the unit of the resource with different probabilities (collectively referred to as “wash”), the problem becomes difficult to solve efficiently. According to the procedures described herein, the capacity is artificially inflated to offset the impact of wash, and then protection levels are computed using the inflated capacity as if there was no wash. The capacity is then artificially inflated again based on the new protection levels, and the process is repeated until, e.g., the results converge. Using this procedure, overallocation limits and protection levels can be computed in real-time, and accordingly the resource can be allocated efficiently as new requests are received.
机译:示例性实施例涉及在愿意为资源提供不同数量的价值的请求者之间分配资源的有限数量的问题。当不同类别的请求者被允许取消请求或未能出现以不同的概率收集资源单元(统称为“清洗”)时,该问题将变得难以有效解决。根据本文所述的程序,对容量进行人为充气以抵消洗涤的影响,然后使用充气后的容量来计算保护水平,就像没有洗涤一样。然后,基于新的保护级别再次人为地增加容量,并且重复该过程,直到例如结果收敛为止。使用此过程,可以实时计算超额分配限制和保护级别,因此,可以在接收到新请求时有效地分配资源。

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