@inproceedings{f409ed25b7cb433a926feae743c8f04e,
title = "Resource Scheduling with Supply Constraint and Linear Cost",
abstract = "We consider the following resource scheduling problem to minimize the total weighted completion time. There are m resources available at each time unit, and n jobs, each requiring an arbitrary number si of resources. Each resource can only be assigned to one job. The objective is to find a schedule that minimizes ∑ wici, where wi is the weight/importance of job Ji and ci is the time that job Ji receives all resources it requires. We show this problem is NP-hard when m is the input of the problem. We then give a simple greedy algorithm with 2-approximation ratio. Finally, we present a polynomial time algorithm with complexity O(nd+1) to solve this problem when the number of different resources requirements that are not multiples of m is at most d.",
keywords = "Algorithms, Machine scheduling, Parallel tasks, Supply allocation",
author = "Qiang Zhang and Weiwei Wu and Minming Li",
year = "2012",
month = aug,
doi = "10.1007/978-3-642-31770-5\_19",
language = "English",
isbn = "9783642317699",
series = "Lecture Notes in Computer Science ",
publisher = "Springer Berlin Heidelberg",
pages = "212--222",
editor = "Guohui Lin",
booktitle = "Combinatorial Optimization and Applications",
note = "6th Annual International Conference on Combinatorial Optimization and Applications (COCOA 2012), COCOA 2012 ; Conference date: 05-08-2012 Through 09-08-2012",
}