An O(log log m)-competitive Algorithm for Online Machine Minimization
August 29, 2017 Β· Declared Dead Β· π IEEE Real-Time Systems Symposium
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Authors
Sungjin Im, Benjamin Moseley, Kirk Pruhs, Clifford Stein
arXiv ID
1708.09046
Category
cs.DS: Data Structures & Algorithms
Citations
5
Venue
IEEE Real-Time Systems Symposium
Last Checked
4 months ago
Abstract
This paper considers the online machine minimization problem, a basic real time scheduling problem. The setting for this problem consists of n jobs that arrive over time, where each job has a deadline by which it must be completed. The goal is to design an online scheduler that feasibly schedules the jobs on a nearly minimal number of machines. An algorithm is c-machine optimal if the algorithm will feasibly schedule a collection of jobs on cm machines if there exists a feasible schedule on m machines. For over two decades the best known result was a O(log P)-machine optimal algorithm, where P is the ratio of the maximum to minimum job size. In a recent breakthrough, a O(log m)-machine optimal algorithm was given. In this paper, we exponentially improve on this recent result by giving a O(log log m)-machine optimal algorithm.
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