posted on 2018-06-04, 08:41authored byKelin Luo, Thomas Erlebach, Yinfeng Xu
We study an on-line scheduling problem that is motivated
by applications such as car-sharing. Users submit ride requests, and the
scheduler aims to accept requests of maximum total profit using a single
server (car). Each ride request specifies the pick-up time and the pick-up
location (among two locations, with the other location being the destination).
The scheduler has to decide whether or not to accept a request
immediately at the time when the request is submitted (booking time).
We consider two variants of the problem with respect to constraints on
the booking time: In the fixed booking time variant, a request must be
submitted a fixed amount of time before the pick-up time. In the variable
booking time variant, a request can be submitted at any time during a
certain time interval that precedes the pick-up time. We present lower
bounds on the competitive ratio for both variants and propose a greedy
algorithm that achieves the best possible competitive ratio.
Funding
This work was partially supported by the China Postdoctoral
Science Foundation (Grant No. 2016M592811), and the China Scholarship
Council (Grant No. 201706280058).
History
Citation
Proceedings of the 24th International Computing and Combinatorics Conference (COCOON 2018), Lecture Notes in Computer Science, 2018, 10976, pp 242-254
Author affiliation
/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Informatics
Source
24th International Computing and Combinatorics Conference, Qingdao, China
Version
AM (Accepted Manuscript)
Published in
Proceedings of the 24th International Computing and Combinatorics Conference (COCOON 2018)