eng
Schloss Dagstuhl – Leibniz-Zentrum für Informatik
Leibniz International Proceedings in Informatics
1868-8969
2012-12-14
199
210
10.4230/LIPIcs.FSTTCS.2012.199
article
Scheduling Resources for Executing a Partial Set of Jobs
Chakaravarthy, Venkatesan T.
Pal, Arindam
Roy, Sambuddha
Sabharwal, Yogish
In this paper, we consider the problem of choosing a minimum cost set of resources for executing a specified set of jobs. Each input job is an interval, determined by its start-time and end-time. Each resource is also an interval determined by its start-time and end-time; moreover, every resource has a capacity and a cost associated with it. We consider two versions of this problem.
In the partial covering version, we are also given as input a number k, specifying the number of jobs that must be performed. The goal is to choose $k$ jobs and find a minimum cost set of resources to perform the chosen k jobs (at any point of time the capacity of the chosen set of resources should be sufficient to execute the jobs active at that time). We present an O(log n)-factor approximation algorithm for this problem.
We also consider the prize collecting version, wherein every job also has a penalty associated with it. The feasible solution consists of a subset of the jobs, and a set of resources, to perform the chosen subset of jobs. The goal is to find a feasible solution that minimizes the sum of the costs of the selected resources and the penalties of the jobs that are not selected. We present a constant factor approximation algorithm for this problem.
https://drops.dagstuhl.de/storage/00lipics/lipics-vol018-fsttcs2012/LIPIcs.FSTTCS.2012.199/LIPIcs.FSTTCS.2012.199.pdf
Approximation Algorithms
Partial Covering
Interval Graphs