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Car-Sharing Problem: Online Scheduling with Flexible Advance Bookings

机译:拼车问题:具有灵活的提前预订的在线计划

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We study an online scheduling problem that is motivated by applications such as car-sharing for trips among a number of locations. Users submit ride requests, and the scheduler aims to accept as many requests as k servers (cars) could. Each ride request, specifies the pick-up time, the pick-up location, and the drop-off location. A request can be submitted at any time during a certain time interval that precedes the pick-up time. The scheduler has to decide whether or not to accept a request immediately at the time when the request is submitted (booking time). For the general case in which requests may have arbitrary lengths, L, the ratio of the longest to the shortest request, is an important parameter. We give an algorithm with competitive ratio O(L), where the ratio L is known in advance. It is shown that no O(L~α)-competitive algorithm exists for the fixed booking variant, where 0 < α < 1. It is also proved that no O(L)-competitive algorithm exists for the variable booking variant.
机译:我们研究了一种在线调度问题,该问题是由诸如在多个地点之间进行出行的汽车共享之类的应用所激发的。用户提交乘车请求,并且调度程序旨在接受尽可能多的k个服务器(汽车)的请求。每个乘车请求都指定了接送时间,接送地点和下车地点。可以在提货时间之前的特定时间间隔内的任何时间提交请求。调度程序必须在提交请求时(预订时间)决定是否立即接受请求。对于请求可能具有任意长度的一般情况,最长的请求与最短的请求之比L是重要的参数。我们给出了具有竞争比O(L)的算法,其中比L事先已知。结果表明,对于固定预订变量,没有O(L〜α)竞争算法,其中0 <α<1。还证明了对于变量预订变量,没有O(L)竞争算法。

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