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| Content Provider | ACM Digital Library |
|---|---|
| Author | Schmid, Ulrich Kößler, Alexander Chatterjee, Krishnendu |
| Abstract | In this paper, we introduce the powerful framework of graph games for the analysis of real-time scheduling with firm deadlines. We introduce a novel instance of a partial-observation game that is suitable for this purpose, and prove decidability of all the involved decision problems. We derive a graph game that allows the automated computation of the competitive ratio (along with an optimal witness algorithm for the competitive ratio) and establish an NP-completeness proof for the graph game problem. For a given on-line algorithm, we present polynomial time solution for computing (i) the worst-case utility; (ii) the worst-case utility ratio w.r.t. a clairvoyant off-line algorithm; and (iii) the competitive ratio. A major strength of the proposed approach lies in its flexibility w.r.t. incorporating additional constraints on the adversary and/or the algorithm, including limited maximum or average load, finiteness of periods of overload, etc., which are easily added by means of additional instances of standard objective functions for graph games. |
| Starting Page | 163 |
| Ending Page | 172 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781450315678 |
| DOI | 10.1145/2461328.2461356 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-04-08 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Real-time scheduling Competitive analysis Game theory |
| Content Type | Text |
| Resource Type | Article |
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